Future Directions of Precision Agriculture

Precision Agriculture is advancing but not as fast as predicted 5years ago. The development of proper decision-support systems for implementing precision decisions remains a major stumbling block to adoption. Other critical research issues are discussed, namely, insufficient recognition of temporal variation, lack of whole-farm focus, crop quality assessment methods, product tracking and environmental auditing. A generic research programme for precision agriculture is presented. A typology of agriculture countries is introduced and the potential of each type for precision agriculture discussed.Invited paper, 7th International Conference on Precision Agriculture, Minneapolis, USA, July 2004.     

Estimating Average and Proportional Variograms of Soil Properties and Their Potential Use in Precision Agriculture

Precision Agriculture requires a method of gathering information about the spatial variability of soil that reduces the need for expensive and intensive sampling. This can be achieved through the use of what we term average and proportional variograms. A literature search has enabled the gathering of variograms for multiple soil properties, allowing comparison of the magnitude of variability and the construction of averages. For soil properties that display proportionality between their mean squared and variance, the variogram can be predicted from a mean value. These average and proportional variograms are potentially beneficial to implementers of Precision Agriculture as they can be used to plan optimal soil sampling and management schemes. It was found that if wishing to implement site-specific management to a resolution of 20×20 m then grid soil sampling will generally have to be performed at 20–30 m intervals depending on the attribute of interest. A decision-support chart for differential soil management based on a variogram's comparative magnitude to the average is presented. Further work needs to be done on increasing the data base these results are based on and refining the proportional variogram parameters to site-specificity.     

精确农业导论

不管农田固有的空间差异,采用单一方法进行管理,是当前普遍采用的一种传统管理方式。由于农业机械化的需要,地块越来越大,这就使这种管理方式的弊端日趋严重。精确农业（ｐｒｅｃｉｓｉｏｎ ｆａｒｍｉｎｇ）是在信息技术支撑下的一种新型管理方式,它可以使经营者更深刻地理解和精确地控制农场的生产状况。精确农业的核心是对变化因素进行管理。最明显的变化因素有三个：空间（ｓｐａｔｉａｌ）、时间（ｔｅｍｐｏｒａｌ）和预     

精确农业的由来与发展及其在我国的应用策略

本文系统地介绍了精确农业的内涵,精确农业使用的３Ｓ技术发展状况,精确农业研究所需解决的关键技术问题,包括信息获取、构建诊断模型与决策实施等。并就我国农业条件的特点,提出具有中国特色的精确农业的发展道路。     

供给侧改革背景下推进湖南省精细农业发展的思考

精细农业是现代农业的理念和重要生产形式。对精细农业的概念和特征进行简要介绍,并就供给侧改革背景下湖南省发展精细农业的途径提出在产业结构调整上积极推进"双稳双扩双提",在产业布局上积极推进"两区两带"错位发展,在农产品品质提升上积极推进"双绿"行动,在生产经营方式转变上积极推进"精细化+",在支撑农业可持续发展上努力实现"三高",在培育发展新动能上积极推进"双改双返",在重大项目抓手上推进"五个三"工程等建议。     

A Methodology for Precision Nitrogen Fertilization in High-Input Farming Systems

Nitrogen (N) emissions to ground and surface waters have become a major concern in many regions. In reaction, policy makers are tightening environmental constraints on agriculture, resulting in a call for more efficient management systems. This study presents a methodology for precision N fertilization in high-input farming systems applying split fertilizer strategies. Essentially, the method uses a mechanistic simulation model to quantify (i) soil mineral-N levels and (ii) N uptake rates on a real-time basis. Early warning signals are generated once N concentrations drop below a critical threshold level, indicating that additional fertilizer should be applied. Thresholds are not static, but defined in relation to actual uptake rates. Spatial variation is incorporated through the concept of management units: i.e., stable units with relatively homogeneous characteristics in terms of water regimes and nutrient dynamics. Separate simulations are conducted for each management unit, based on selected representative soil profiles. The proposed methodology was tested in a winter wheat (Triticum aestivum L.) field during the 1998 growing season. Six experimental strips were delineated receiving either precise or traditional fertilization. Precision fertilization proved efficient in reducing fertilizer inputs (–23%), while slightly improving grain yields (+3%) and hectoliter weights (+4%). Results clearly illustrate the significance of precision management in the process of increasing fertilizer use efficiency.     

Mapping Potential Crop Management Zones within Fields: Use of Yield-map Series and Patterns of Soil Physical Properties Identified by Electromagnetic Induction Sensing

Investment in precision farming technologies can be expensive and is not expected to be cost-effective for every farm. Previous research and farm experience has shown that the amount of soil variability across a farm and within a field is of key importance for determining potential benefits from the adoption of precision farming. The research reported here evaluates the analysis of yield map sequences and electromagnetic induction (EMI) soil sensing as potentially cost-effective methods for identifying and mapping soil-determined management zones within fields. Both methods are shown to provide useful information for the provisional delineation of soil type boundaries and crop management zones, though soil examination in the field is still necessary to confirm specific soil characteristics.     

Converting or not converting to organic farming in Austria:Farmer types and their rationale

Reasons for converting to organic farming have been studied in a number of instances. However, the underlying rationale that motivates the behavior is not always made clear. This study aims to provide a detailed picture of farmers decision-making and illustrate the choice between organic and conventional farm management. Based on 21 interviews with farmers, a decision-tree highlighting the reasons and constraints involved in the decision of farmers to use, or not to use, organic production techniques was formulated. The accuracy of the decision-tree was tested through a written survey of 65 randomly sampled farmers. The decision-tree permits the identification of decision criteria and examines the decision-making process of farmers in choosing their farming method. It also allows for the characterization of farmer strategies and values, identifying five types of farmers: the committed conventional; the pragmatic conventional; the environment-conscious but not organic; the pragmatic organic; and the committed organic. The importance of taking into account heterogeneity in farmers attitudes, preferences, and goals and their impact on the choice of a farming method is emphasized.Ika Darnhofer is an Assistant Professor at the Institute of Agricultural and Forestry Economics at the University of Natural Resources and Applied Life Sciences Vienna. She received both her MSc and PhD in Agricultural Economics from the University of Natural Resources and Applied Life Sciences Vienna, working on issues of agricultural development in Africa. Her current research interests include economic and sociological analyses of factors that shape farmers land use decision-making behavior, with a particular focus on organic farming.Walter Schneeberger is a Full Professor of Farm Business Management and Head of the Institute of Agricultural and Forestry Economics at the University of Natural Resources and Applied Life Sciences Vienna. His current research interests include the economics of producing and processing agricultural products and farm business management for both conventional and organic farms.Bernhard Freyer is a Full Professor of Organic Farming and Head of the Institute of Organic Farming of the University of Natural Resources and Applied Life Sciences Vienna. His work on organic farming focuses on its agronomic aspects (plant cultivation, crop rotations, and soil fertility) as well as on the analysis of conversion to organic farming (planning process, farm development) and its potential for regional development.     

Identifying and ranking attributes that determine sustainability in Dutch dairy farming

Recent developments in agriculture have stirred up interest in the concept of sustainable farming systems. Still it is difficult to determine the extent to which certain agricultural practices can be considered sustainable or not. Aiming at identifying the necessary attributes with respect to sustainability in Dutch dairy farming in the beginning of the third millennium, we first compiled a list of attributes referring to all farming activities with their related side effects with respect to economic, internal social, external social, and ecological sustainability. A wide range of people (i.e., experts and stakeholders) were consulted to contribute to our list of attributes. Our consultation showed that only one attribute was selected for economic and internal social sustainability: profitability and working conditions, respectively. The list for external social sustainability contained 19 attributes and the list for ecological sustainability contained 15 attributes. To assess their relative importance, the same experts and stakeholders ranked the attributes for external social and ecological sustainability by using a questionnaire. The most important attributes for external social sustainability were food safety, animal health, animal welfare, landscape quality, and cattle grazing. For ecological sustainability they were eutrophication, groundwater pollution, dehydration of the soil, acidification, and biodiversity. The present method for identifying and ranking attributes is universal and, therefore, can be used for other agricultural sectors, for other countries, and for other time periods.Klaas Jan van Calker is a Researcher at the Animal Sciences Group and is doing his PhD research on sustainability of different dairy farming systems in cooperation with Business Economics of Wageningen University.Paul Berentsen is a Lecturer and Researcher at Business Economics, Wageningen University.Gerard Giesen is a Lecturer and Researcher at Business Economics, Wageningen University.Ruud Huirneis the general director of the Animal Sciences Group, and Professor of Farm Management, Wageningen University.     

Soil fertility management in the mid-hills of Nepal: Practices and perceptions

Sustaining soil fertility is essential to the prosperity of many households in the mid-hills of Nepal, but there are concerns that the breakdown of the traditional linkages between forest, livestock, and cropping systems is adversely affecting fertility. This study used triangulated data from surveys of households, discussion groups, and key informants in 16 wards in eastern and western Nepal to determine the existing practices for soil fertility management, the extent of such practices, and the perception of the direction of changes in soil fertility. The two principal practices for maintaining soil fertility were the application of farmyard manure (FYM) and of chemical fertilizer (mainly urea and diammonium phosphate). Green manuring, in-situ manuring, slicing terrace risers, and burning plant residues are rarely practiced. FYM usage was variable with more generally applied to khet land (average 6053 kg fresh weight manure ha^–1) than to bari land (average 4185 kg fresh weight manure ha^–1) with manure from goats and poultry preferred above that from cows and buffaloes. Almost all households (98%) apply urea to khet land and 87% to bari land, with 45% applying diammonium phosphate to both types of land. Application rates and timings of applications varied considerably both within and between wards suggesting poor knowledge transfer between the research and farming communities. The benefits of chemical fertilizers in terms of ease of application and transportation in comparison with FYM, were perceived to outweigh the widely reported detrimental hardening of soil associated with their continued usage. Among key informants, FYM applied in conjunction with chemical fertilizer was the most popular amendment, with FYM alone preferred more than chemical fertilizer alone – probably because of the latters long-term detrimental effects. Key informant and householder surveys differed in their perception of fertility changes in the last decade probably because of differences in age and site-specific knowledge. All key informants felt that fertility had declined but among households, only about 40% perceived a decline with the remainder about evenly divided between no change and an increase. Householders with small landholdings (< 0.5 ha) were more likely to perceive increasing soil fertility while those with larger landholdings (> 2 ha) were more likely to perceive declining fertility. Perceived changes in soil fertility were not related to food self-sufficiency. The reasons for the slow spread of new technologies within wards and the poor understanding of optimal use of chemical fertilizers in conjunction with improved quality FYM may repay further investigation in terms of sustaining soil fertility in this region.Colin Pilbeam graduated from the University of Oxford with an MA in Agriculture and Forest Sciences. He spent 11 years as a Post-Doctoral Research Fellow in the Department of Soil Science, The University of Reading researching nitrogen and water dynamics in cropping systems in Kenya, Syria, and Nepal. He is now the manager of research programs at Cranfield School of Management.Sudarshan Bhakta Mathema is a senior agricultural economist based in Kathmandu, Nepal. After serving the Ministry of Agriculture and Cooperatives, in Nepal for 23 years, he joined the UNs Food and Agriculture Organization as the Farming Systems Economist for 2years. Currently, Dr. Mathema is the Manager of the Hill Agriculture Research Project with the Department for International Development, UK. Dr Mathema has major expertise in the fields of farming systems research and development, participatory research and development, competitive grant systems, sustainable rural livelihoods, impact assessment, project management and implementation, agricultural extension methods, and various types of socio-economic research. He has worked as a consultant for various national and international institutes. He has published papers and reports in the field of agriculture, particularly focusing on Nepal.Peter Gregory has been the Professor of Soil Science at the University of Reading since 1994. His research focuses on the interactions between plant roots and soils and on the development of sustainable systems of crop production. He has worked in Australia, Syria, Nepal, India, and West Africa and is the chair of Global Environmental Change and Food Systems – an international research project on food security.Padma Bahadur Shakya is an Agricultural Economist who has worked for the Department of Agriculture under the Ministry of Agriculture and Cooperatives in Nepal for more than 20 years. He has also been a short-term consultant for various national and international organizations such as FAO, the UNs World Food Programme, Swiss Development Corporation, Asian Development Bank, JICA, HARP, and several local NGOs. Currently, he is affiliated with the Agriculture Perspective Plan Support Programme, implemented by the Ministry of Agriculture and Cooperatives.     

The “Null Hypothesis” of Precision Agriculture Management

As precision agriculture strives to improve the management of agricultural industries, the importance of scientific validation must not be forgotten. Eventually, the improvement that is imparted by precision agriculture management must be considered in terms of profitability and environmental impact (both short and long term). As one form of precision agriculture, we consider site-specific crop management to be defined as: Matching resource application and agronomic practices with soil and crop requirements as they vary in space and time within a field. While the technological tools associated with precision agriculture may be most obvious, the fundamental concept will stand or fall on the basis of scientific experimentation and assessment. Crucial then to scientifically validating the concept of site-specific crop management is the proposal and testing of the null hypothesis of precision agriculture, i.e. Given the large temporal variation evident in crop yield relative to the scale of a single field, then the optimal risk aversion strategy is uniform management. The spatial and temporal variability of important crop and soil parameters is considered and their quantification for a crop field is shown to be important to subsequent experimentation and agronomic management. The philosophy of precision agriculture is explored and experimental designs for Precision agriculture are presented that can be employed in attempts to refute the proposed null hypothesis.     

农业文化遗产：连接过去与未来的桥梁

为了应对农业生物多样性减少、传统农耕技术和乡村文化丧失、食物与生计安全等问题,联合国粮农组织（FAO）于2002年发起了“全球重要农业文化遗产（GIAHS）”保护倡议。在该倡议提出20周年之际,为了系统认识农业文化遗产的价值及其现实意义,科学分析农业文化遗产保护中的问题与发展前景,邀请了11位来自相关领域的知名专家和遗产保护实践者,进行了一对一的交流访谈,访谈内容包括：农业文化遗产与现代生态农业发展的关系;农业文化遗产的历史文化价值及现实意义;农业文化遗产与非物质文化遗产的关系;农业文化遗产对粮食安全保障的意义;农业文化遗产中农业生物多样性的特征与价值,农业文化遗产在乡村文化振兴中的作用与可持续旅游发展,农业文化遗产对国际公约履约与国际合作的支撑作用;中国典型农业文化遗产保护与发展实践经验等。访谈结果表明：以活态性、动态性、系统性为主要特征的农业文化遗产,蕴含着丰富的农业生物多样性、生态农业技术、传统农耕文化和结构合理的生态景观,对解决工业化和城镇化所带来的生态环境问题、促进农业可持续发展和乡村全面振兴具有重要意义。作为一种特殊的遗产类型,农业文化遗产保护需要建立全新的范式,在强调政府...     

A case study of cash cropping in Nepal: Poverty alleviation or inequity?

Agricultural commercialization as a mechanism to alleviate rural poverty raises concerns about small land-holders, non-adopters, and inequity in the distribution of benefits within transforming economies. Farm gross margins were calculated to assess the economic status and impact of cash cropping on the economic well-being of agrarian households in the Mid-hills of Nepal. On an individual crop basis, tomatoes and potatoes were the most profitable. On a per farm basis, 50 of the households with positive farm gross margins grew at least one vegetable crop, while only 25 of households with negative farm gross margins included vegetable crops in their rotation. Farmers have been hesitant to produce primarily for the market given the rudimentary infrastructure and high variability in prices. Farmers reported selling more crops, but when corrected for inflation, gross revenues declined over time. The costs and benefits of developing markets have been unevenly distributed with small holders unable to capitalize on market opportunities, and wealthier farmers engaging in input intensive cash cropping. Farms growing vegetables had an average gross margin of US$137 per year compared to US$12 per year for farms growing only staple crops. However, the area under production is small, and while vegetable production is likely to continue increasing, sensitivity analysis and scenarios suggest high variability and limited short-term impact on poverty alleviation.Sandra Brown is a Senior Research Associate jointly appointed to the Institute for Resources and Environment, University of British Columbia in Vancouver, Canada and the Communities and Watersheds Program at the International Centre for Tropical Agriculture in Cali, Colombia. Her research interests are in gender and equity issues in natural resource management, and linking biophysical and socio-economic research approaches. Sandra works extensively in watershed management both within Canada and internationally. She has worked extensively in the Himalayan and Andean Mountains including current projects in Nepal, China, Bhutan, Peru, Ecuador, and Colombia. Sandra is co-author of numerous multimedia CD-ROMs including: Gender and Resources in the Middle Mountains of Nepal, Integrated Watershed Management, and Water in International Development. She has developed and delivered numerous educational programs including courses on gender and natural resources, watershed management, and innovative technologies in teaching and research. George Kennedy is an Associate Professor in Food and Resource Economics and the Director of International Programs in the Faculty of Agricultural Sciences at the University of British Columbia in Vancouver Canada. His research interests are in agricultural development and internationalizing higher education. Within this capacity, George is the UBC coordinator for the Southeast Asian University Consortium for Graduate Education in Agriculture. In 2002, he won the Association of Universities and Colleges in Canada Award for Excellence in Internationalization for the Global Resource Systems Program in the category Broadening the Student Experience.     

Engagement for transformation: Value webs for local food system development

Engagement happens when academics and non-academics form partnerships to create mutual understanding, and then take action together. An example is the “value web” work associated with W. K. Kellogg Foundation’s Food Systems Higher Education–Community Partnership. Partners nationally work on local food systems development by building value webs. “Value chains,” a concept with considerable currency in the private sector, involves creating non-hierarchical relationships among otherwise disparate actors and entities to achieve collective common goals. The value web concept is extended herein by separating the values of the web itself, such as the value of collaboration, from values “in” the web, such as credence values associated with a product or service. By sharing and discussing case examples of work underway around the United States, the authors make a case for employing the value webs concept to represent a strategy for local food systems development, specifically, and for higher education–community partnerships, generally.

Development of an Image Processing System and a Fuzzy Algorithm for Site-Specific Herbicide Applications

In precision farming, image analysis techniques can aid farmers in the site-specific application of herbicides, and thus lower the risk of soil and water pollution by reducing the amount of chemicals applied. Using weed maps built with image analysis techniques, farmers can learn about the weed distribution within the crop. In this study, a digital camera was used to take a series of grid-based images covering the soil between rows of corn in a field in southwestern Quebec in May of 1999. Weed coverage was determined from each image using a greenness method in which the red, green, and blue intensities of each pixel were compared. Weed coverage and weed patchiness were estimated based on the percent of greenness area in the images. This information was used to create a weed map. Using weed coverage and weed patchiness as inputs, a fuzzy logic model was developed for use in determining site-specific herbicide application rates. A herbicide application map was then created for further evaluation of herbicide application strategy. Simulations indicated that significant amounts of herbicide could be saved using this approach.     

Agriculture and biodiversity: Finding our place in this world

Agriculture has been recently viewed as the primary destructive force of biodiversity, but the places that produce our food and fiber may also hold the key to saving the richness of life on earth. This argument is based on three fundamental positions. First, it is argued that to value and thereby preserve and restore biodiversity we must begin by employing anthropocentric ethics. While changing our understanding of intrinsic values (i.e., the unconditional values of biodiversity as a state and process in-and-of-itself, without reference to human interests) is often advocated as the means by which our behavior will reflect the importance of biodiversity, a change in how we perceive and conditionally value biodiversity is proposed as a more effective and compelling approach. Second, I suggest that anthropocentric values can be linked to a sense of Place, with agriculture playing a vital role in this context. Agriculture forms a powerful basis for personal, experiential development of a profound meaning and connection to a setting or landscape. The agricultural setting has tremendous potential for arational (emotional, aesthetic, and spiritual) values that ultimately compel our actions. The constancy of relationship and mutuality of dependency between humans and agricultural lands, particularly extensive agroecosystems, fosters an intensity of association that transcends our recent affinity to wildlands. Third, a mature understanding of places and their biodiversity must include those organisms that account for many of the ecological processes and the majority of the species richness -- the insects. The importance of these insects in structuring the landscape and the effects of habitat destruction on these organisms both suggest a vital, intimate, and reciprocal link between insects and Places. Finally, it is argued that the most important avenue for future efforts to protect and restore biodiversity on the part of agricultural and other scientists is educational -- the presentation of our research to the public in terms that provoke emotional, aesthetic, and spiritual meaning which lies at the core of human values and actions.     

Rural income generation through improving crop-based pig production systems in Vietnam: Diagnostics,interventions, and dissemination

Sweetpotato-pig production is an important system that generates income, utilizes unmarketable crops, and provides manure for soil fertility maintenance. This system is widely practiced from Asia to Africa, with many local variations. Within this system, pigs are generally fed a low nutrient-dense diet, yielding low growth rates and low economic efficiency. Our project in Vietnam went through a process of situation analysis, participatory technology development (PTD), and scaling up over a seven-year period to improve sweetpotato-pig production and to disseminate developed technologies. The situation analysis included a series of pig production assessments in several provinces in northern and southern Vietnam, and pig supply-market chain identification was conducted in 13 provinces. The analysis of these studies informed the project of the following: (1) appropriate locations for our activities; (2) seasonal available feedstuff and farmers feeding practices; (3) market fluctuation and requirements; and (4) feeding and management improvement needs based on which the subsequent phase of PTD was designed. The PTD involved a limited number of farmers participating in sweetpotato varietal selection, sweetpotato root and vine silage processing, seasonal feeding combination, and pig feeding with balanced crop-feed diet and silage. Six years of multi-location and multi-season sweetpotato selection resulted in a few promising varieties that yielded up to 75% more dry matter and have since been formally released. The most significant results of silage processing and feeding trials include improved growth, higher feeding efficiency, increased year-round local feedstuff, and considerable labor reduction from eliminated cooking and vine cutting. Once these technologies were developed, a farmer-to-farmer training model was designed for scaling up the adoption and impact. Farmer trainers from seven communes in seven provinces received training in these technologies. In turn, they undertook the responsibility of training other farmers on sweetpotato selection, processing, and feeding. An impact study was also administered to monitor and evaluate (M&E) the dissemination process and to document the impact of the new technologies and farmer-to-farmer training model on pig growth and farmer income generation. The results showed that both participating and non-participating farmers have taken up the technologies, although the former demonstrates higher rates of adoption than the latter. The participants also generated more income and saved more labor from the adoption of the technologies. While the scaling up and M&E activities are on-going, the project has since broadened from a sweetpotato-pig system perspective to a pig-cropfeed system perspective based on farmers needs. It has included other crop feeds such as cassava and peanut stems in the research portfolio. New technologies based on on-going PTD will continuously be incorporated into the future training curriculum.Dai Peters is currently a senior scientist with the International Center for Tropical Agriculture (CIAT) based in Hanoi, Vietnam. This publication is based on research conducted while she was a research scientist with the International Potato Center (CIP). She holds a PhD from North Carolina State University. Her research interests include on-farm participatory research methodologies, agroenterprise development, and sweetpotato-pig farming systems in Vietnam and Papua, Indonesia. Her recent publications include a manual on crop-based pig feed systems, post-harvest fermentation of sweetpotato roots and vines, and agroenterprise development.Nguyen Thi Tinh is currently a coordinator of the sweetpotato-pig improvement project at the International Potato Center in Vietnam. Ms. Tinh holds a Masters degree in animal nutrition from Wageningen University, Netherlands. She participated in the project on pig feeding trials for five years.Mai Thach Hoanh is a sweetpotato breeder with the Root Crop Research Center of Vietnam Agricultural Science Institute (VASI). He holds a PhD in sweetpotato breeding from the same institute. He participated in the project for seven years on sweetpotato selection. Nguyen The Yen is a crop scientist in the Food Crop Research Institute of Vietnam. He holds a PhD in sweetpotato breeding from VASI. He participated in the project for five years on sweetpotato selection.Pham Ngoc Thach is a lecturer with the Hanoi Agricultural University. He holds a PhD in veterinarian science from the same university. He participated in the project for five years in controlling pig diseases during the feeding trials.Keith Fuglie is a regional coordinator and research scientist in the International Potato Center based at Bogor, Indonesia. He holds a PhD in agriculture economics from the University of Wisconsin. He designed the impact study for the project.     

Environmental and social risks, and the construction of “best-practice” in Australian agriculture

Amongst the environmental and social externalities generated by Australian agriculture are a number of risks both to the health and safety of communities living near sites of agricultural production, and to the end consumers of agricultural products. Responses to these potential risks – and to problems of environmental sustainability more generally – have included a number of programs to variously: define best-practice for particular industries; implement Quality Assurance procedures; and encourage the formation of self-help community Landcare groups. Taken together, these programs appear to deal comprehensively with both the social and environmental risks associated with agricultural production and products. However, these programs may also be interpreted as strategies that actually encourage the further intensification of agriculture, while attempting to reassure consumers that their food is safe and that farmers are doing all they can to protect the environment. Investigation of the Australian cotton and beef industries illustrates a number of strategies that have become evident between farmers, agri-science agencies, and the retail sector to manage these risks and define good farming practices in ways that satisfy their own perceived interests. Contrary to the image, therefore, of green consumption that is emerging as an integrated concern for clean (and thereby healthy) and sustainably produced foods, it appears that mainstream agricultural industries have bifurcated these concerns in ways that distract attention from production and processing methods, leaving conflict over on-farm production methods a characteristic only of those industries believed to have direct health impacts on nearby communities.     

Separating spatial and temporal sources of variation for model testing in precision agriculture

The application of crop simulation models in precision agriculture research appears to require only the specification of some input parameters and then running the model for each desired location in a field. Reports in the extensive literature on modeling have described independent tests for different cultivars, soil types and weather, and these have been presumed to validate the model performance in general. However, most of these tests have evaluated model performance for simulating mean yields for multiple plots in yield trials or in other large-area studies. Precision agriculture requires models to simulate not only the mean, but also the spatial variation in yield. No consensus has emerged about how to test model performance rigorously, or what level of performance is sufficient. In addition, many measures of goodness of fit between the observed and simulated data (i.e., model performance) depend on the range of variation in the observed data. If, for example, inter-annual and spatial sources of variation are combined in a test, poor performance in one might be masked by good performance in the other. Our objectives are to: (1) examine research aims that are common in precision agriculture, (2) discuss expectations of model performance, and (3) compare several traditional and some alternative measures of model performance. These measures of performance are explained with examples that illustrate their limitations and strengths. The risk of relying on a test that combines spatial and temporal data was shown with data where the overall fit was good (r ²  > 0.8), but the fit within any year was zero. Information gained using these methods can both guide and help to build confidence in future modeling efforts in precision agriculture.

Farmer-Community Connections and the Future of Ecological Agriculture in California

While questions about the environmental sustainability of contemporary farming practices and the socioeconomic viability of rural communities are attracting increasing attention throughout the US, these two issues are rarely considered together. This paper explores the current and potential connections between these two aspects of sustainability, using data on community members’ and farmers’ views of agricultural issues in California’s Central Valley. These views were collected from a series of individual and group interviews with biologically oriented and conventional farmers as well as community stakeholders. Local marketing, farmland preservation, and perceptions of sustainable agriculture comprised the primary topics of discussion. The mixed results indicate that, while many farmers and community members have a strong interest in these topics, sustainable community development and the use of sustainable farming practices are seldom explicitly linked. On the other hand, many separate efforts around the Valley to increase local marketing and agritourism, improve public education about agriculture, and organize grassroots farmland preservation initiatives were documented. We conclude that linking these efforts more explicitly to sustainable agriculture and promoting more engagement between ecologically oriented farmers and their communities could engender more economic and political support for these farmers, helping them and their communities to achieve greater sustainability in the long run. Sonja Brodt is a former program evaluation specialist with the University of California Integrated Pest Management Program. Her current research focuses on extension and adoption of integrated pest management strategies by California growers and the impacts of pesticide safety training programs on farmworkers. Gail Feenstra is a food systems analyst at the University of California Sustainable Agriculture Research and Education Program (SAREP). She coordinates SAREP’s Community Development and Public Policy grants program and conducts outreach and education to academic and community-based groups to build their capacity and leadership skills for developing sustainable community food systems. Robin Kozloff is a social science researcher and consultant in agricultural and land use policy. Karen Klonsky is an extension specialist at the University of California at Davis in the Department of Agricultural and Resource Economics. Her research focuses on the economic viability of organic and sustainable farming systems as well as the evolution of the organic market. Laura Tourte is county director and farm advisor at the University of California Cooperative Extension in Santa Cruz County. Her research and extension activities currently focus on farm management and marketing for small-scale growers.