Timing of precision agriculture technology adoption in US cotton production

The timing of technology adoption is influenced by profitability and farmer ability to bear risk. Innovators are typically more risk tolerant than laggards. Understanding the factors influencing early adoption of precision agriculture (PA) technologies by cotton farmers is important for anticipating technology diffusion over time. The factors influencing the timing of grid soil sampling (GSS), yield monitoring (YMR) and remote sensing (RMS) adoption by cotton producers was evaluated using multivariate censored regression. Data for cotton farmers in 12 states were obtained from a survey conducted in 2009. The factors hypothesized to influence the timing of adoption included farm characteristics, operator characteristics, PA information sources, adoption of other PA technologies, and farm location. The results suggest that different factors influenced when cotton farmers adopted GSS, YMR and RMS after these technologies became commercially available. For example, land ownership was associated with the timing of GSS adoption, but not YMR or RMS adoption; farmer age was correlated with the timing of GSS and YMR adoption, but not RMS adoption; and obtaining PA information from consultants affected the timing of GSS and RMS adoption, but not YMR adoption. The only factors correlated with the early adoption of all three technologies were beliefs that PA would improve environmental quality and the adoption of at least one other PA technology. Thus, the potential for improved environmental quality appears to be a strong adoption motivator across PA technologies, as is the earlier adoption of other PA technologies. This research may be useful for farmers, researchers, Extension personnel, machinery manufacturers, PA information providers and agricultural retailers to anticipate the future adoption of new and emerging PA technologies.     

Reconstructing the good farmer identity: shifts in farmer identities and farm management practices to improve water quality

All farmers have their own version of what it means to be a good farmer. For many US farmers a large portion of their identity is defined by the high input, high output production systems they manage to produce food, fiber or fuel. However, the unintended consequences of highly productivist systems are often increased soil erosion and the pollution of ground and surface water. A large number of farmers have conservationist identities within their good farmer identity, however their conservation goals often need to be activated to rebalance the production-conservation meanings they give to their roles in society. In this paper we analyze US Cornbelt farmer interviews and surveys to trace how the performance-based environmental management process can be used to influence the farmer social identity and shift the overall good farmer identity towards a stronger conservationist standard. We find the continuous feedback loop in performance-based environmental management mimics the hierarchically organized feedback control processes of identity verification and can be used to help farmers activate their conservationist farmer identities at the person, role, and social levels to establish new norms for the practice of more sustainable agriculture.     

IMPACTS OF TECHNICAL ENVIRONMENT ON THE ADOPTION OF ORGANIC FERTILIZERS AND BIOPESTICIDES AMONG FARMERS: EVIDENCE FROM HEILONGJIANG PROVINCE,CHINA

● Farmer adoption of organic fertilizer and biopesticides was found to be positively correlated. ● The technical environment had a significant positive impact on farmers’ adoption of organic fertilizers and biopesticides. ● Technology training and local accessibility to new agricultural technologies enhanced both the adoption of organic fertilizers and biopesticides. ● Exchanging information about production techniques with others generally increased the likelihood of adopting organic fertilizers by 6%. Excessive application of mineral fertilizers and synthetic pesticides poses a substantial threat to the soil and water environment and food security. Organic fertilizer and biopesticides have gradually become essential technology for reducing mineral fertilizer and pesticide inputs. In the process, the technical environment is critical for promoting farmer behavior related to the adoption of organic fertilizer and biopesticides. This paper analyzes the influence of the technical environment on farmer behavior related to the adoption of organic fertilizer and biopesticides based on a survey of 1282 farmers in Heilongjiang Province, China, using the bivariate probit model. The results indicate that (1) farmer behavior related to the adoption applying organic fertilizer and biopesticides were positively correlated; (2) the technical environment had a significant positive impact on farmer behavior related to the adoption of organic fertilizer and biopesticides; and (3) the technical environment had a heterogeneous effect across different groups of farmers. This research provides insights useful for promoting organic fertilizer and biopesticides to farmers. It can be helpful to bundle relevant environmental technologies, conduct technology training for farmers and strengthen the construction of rural information networks.     

Engaging farmers in environmental management through a better understanding of behaviour

The United Kingdom’s approach to encouraging environmentally positive behaviour has been three-pronged, through voluntarism, incentives and regulation, and the balance between the approaches has fluctuated over time. Whilst financial incentives and regulatory approaches have been effective in achieving some environmental management behavioural change amongst farmers, ultimately these can be viewed as transient drivers without long-term sustainability. Increasingly, there is interest in ‘nudging’ managers towards voluntary environmentally friendly actions. This approach requires a good understanding of farmers’ willingness and ability to take up environmental activities and the influences on farmer behavioural change. The paper aims to provide insights from 60 qualitative farmer interviews undertaken for a research project into farmers’ willingness and ability to undertake environmental management, particularly focusing on social psychological insights. Furthermore, it explores farmers’ level of engagement with advice and support networks that foster a genuine interest, responsibility and a sense of personal and social norm to sustain high quality environmental outcomes. Two conceptual frameworks are presented for usefully exploring the complex set of inter-relationships that can influence farmers’ willingness to undertake environmental management practices. The research findings show how an in-depth understanding of farmer’s willingness and ability to adopt environmental management practices and their existing level of engagement with advice and support are necessary to develop appropriate engagement approaches to achieve sustained and durable environmental management.     

Weed control practices on Costa Rican coffee farms: is herbicide use necessary for small-scale producers?

This paper presents research conducted during two coffee farming seasons in Costa Rica. The study examined coffee farmers?? weed management practices and is presented in the form of a case study of small-scale farmers?? use of labor and herbicides in weed management practices. Over 200 structured interviews were conducted with coffee farmers concerning their use of hired labor and family labor, weed management activities, support services, and expectations about the future of their coffee production. ANOVA and regression analyses describe the relationships between farm size, labor, and herbicide use, and three farm types (i.e., conventional, semi-conventional, and organic). Based on findings regarding the amount of labor used to manually control weeds on different types of farms (large farms, small conventional, semi-conventional, and organic farms) I am able to challenge small conventional farmers?? perceived need for herbicide use. Semi-structured interviews of coffee farmers and extension workers further revealed a dominant role played by agro-chemical companies in assisting farmers with production problems, and documented a high transaction cost for information provided from elsewhere. Chemical companies hire extension workers to visit farmers at their farms, free of charge, to offer recommendations on how to treat different pest problems, while government and cooperative extension agents charge for the service. There is a need to increase the amount of resources available to the National Coffee Institute to fund one-on-one farmer support services in order to balance the influence of agro-chemical company representatives and allow farmers to make better decisions regarding weed management.     

农户特征、资源禀赋与台湾农业技术采用行为实证研究

考查农户特征、资源禀赋与农户台湾农业技术采用行为之间的相互作用关系,对于认清农户采用台湾农业技术的行为决策具有积极的理论意义与实际参考价值。通过对影响农户采用台湾农业技术的可能因素进行界定,并进一步细分为16个解释变量;并对这16个解释变量与被解释变量农户台湾农业技术采用行为之间的关系提出相应的研究假设;进一步对实地调查取得的328份样本数据运用Logistic回归模型进行统计分析。结果显示,农户的性别、文化程度、是否参加农业经济合作组织、家庭位置、家庭劳动力、家庭平均年收入、农业收入占总收入比重7个解释变量对被解释变量农户台湾农业技术采用行为产生显著的影响。     

Developing sustainable summer maize production for smallholder farmers in the North China Plain: An agronomic diagnosis method

With an increasing population and changing diet structure, summer maize is increasingly becoming an important energy crop in China. However, traditional farmer practices for maize production are inefficient and unsustainable. To ensure food security and sustainable development of summer maize production in China, an improved, more sustainable farmer management system is needed. Establishing this system requires a comprehensive understanding of the limitations of current farming practice and the ways it could be improved. In our study, 235 plots from three villages in the North China Plain(NCP) were monitored. Maize production on farms was evaluated; our results showed that the maize yield and nitrogen partial factor productivity(PFP_N) were variable on smallholder farms at 6.6~(–1)3.7 t ha~(–1) and 15.4–88.7 kg kg~(–1), respectively.Traditional farming practices also have a large environmental impact(nitrogen surplus: –64.2–323.78 kg ha~(–1)). Key yield components were identified by agronomic diagnosis. Grain yield depend heavily on grain numbers per hectare rather than on the 1 000-grain weight. A set of improved management practices(IP) for maize production was designed by employing a boundary line(BL) approach and tested on farms. Results showed that the IP could increase yield by 18.4% and PFP_N by 31.1%, compared with traditional farmer practices(FP), and reduce the nitrogen(N) surplus by 57.9 kg ha~(–1). However,in terms of IP effect, there was a large heterogeneity among different smallholder farmers' fields, meaning that, precise technologies were needed in different sites especially for N fertilizer management. Our results are valuable for policymakers and smallholder farmers for meeting the objectives of green development in agricultural production.     

基于乡村生产空间系统多功能的村域新型经营主体培育研究

在剖析乡村生产空间系统多功能与新型经营主体关系的基础上,建立新型经营主体培育量表,并以重庆市凤凰镇7个行政村为实证,筛选出适合于村域乡村生产空间系统功能的新型经营主体类型.结果表明:胡南坝村(多功能性高值区)适合引进农业企业,未来以打造农业企业示范片区为导向;皂桷树村、凤凰桥村和八字桥村(多功能性中值区)适合成立农民合作社,未来以农民合作社引导型为导向;杨家庙村、五福村和威灵寺村(多功能性低值区)适合扶持专业大户或家庭农场,未来适合营建专业大户和家庭农场集聚区.研究为村域尺度下新型经营主体的选择与培育提供了新的视角和方法.     

The multi-dimensional nature of environmental attitudes among farmers in Indiana: implications for conservation adoption

Attempts to understand farmer conservation behavior based on quantitative socio-demographic, attitude, and awareness variables have been largely inconclusive. In order to understand fully how farmers are making conservation decisions, 32 in-depth interviews were conducted in the Eagle Creek watershed in central Indiana. Coding for environmental attitudes and practice adoption revealed several dominant themes, representing multi-dimensional aspects of environmental attitudes. Farmers who were motivated by off-farm environmental benefits and those who identified responsibilities to others (stewardship) were most likely to adopt conservation practices. Those farmers who focused on the farm as business and were most concerned about profitability were less likely to adopt practices. The notion of environmental stewardship in particular was found to be much more complex than the way it is traditionally measured in quantitative studies. The interplay between on-farm and off-farm benefits to practice adoption is an issue that quantitative studies largely do not address. This study seeks to increase understanding of farmers’ environmental attitudes and the connections to conservation behavior.     

Identifying the challenges of promoting ecological weed management (EWM) in organic agroecosystems through the lens of behavioral decision making

Ecological weed management (EWM) is a scientifically established management approach that uses ecological patterns to reduce weed seedbanks. Such an approach can save organic farmers time and labor costs and reduce the need for repeated cultivation practices that may pose risks to soil and water quality. However, adoption of effective EWM in the organic farm community is perceived to be poor. In addition, communication and collaboration between the scientific community, extension services, and the organic farming community in the US is historically weak. In order to uncover the most persistent obstacles to promoting effective weed management in organic agroecosystems, we use the mental models approach to generate an expert model based on interviews with experts (e.g., weed scientists, weed ecologists, and extension personnel) and theories from the behavioral sciences. The expert model provides two main insights: (1) EWM is a complex strategy that may cause farmers to use heuristics in management decisions and (2) the long-term benefits of EWM, rather than the risks, need to be emphasized in communication with and outreach to organic farmers. The basis for new research topics and outreach material that incorporates these insights from the expert model are discussed. We briefly explain how the expert model is an incomplete picture of on-farm practices, but provides the basis for the second step of our mental models research, the farmer interviews and farmer decision model development.     

Socioeconomic impact of widespread adoption of precision farming and controlled traffic systems in Denmark

In this study we assess the economic profitability of implementing various precision farming (PF) technologies and controlled traffic farming (CTF) on 4 main crops in Denmark. The study provides insight into technological requirements, and identifies related costs and benefits to farmers and the Danish society as a whole. At the farm level, the findings from the study indicate that an implementation of CTF systems may have a significant impact on fuel savings due to a reduced overlap with auto guidance systems and easier movement with tractors and tools in the field. The PF site-specific weed management approach may facilitate large savings in the use of herbicides. At the national level, the results clearly show that the benefits to the Danish economy of adopting this new technology is positive with increased income to farmers and a reduction in fuel consumption and pesticides/herbicides use. The obtained results reflect the long term economic effect of implementing new production methods in Denmark where soil fertility increases over time due to reduced traffic increasing yields. Over all, the Danish GDP is estimated to increase by 34?million?? due to the implementation of PF and CTF on larger farms in Denmark. The results also clearly show that adoption of PF and CTF farming systems will benefit the environment. The agricultural sectors input of environmental harmful inputs are reduced in all scenarios presented in this paper. The adoption of PF and CTF systems should thus be of interest to politicians since it clearly facilitates aims of environmental policies currently under implementation by the Danish government.     

Precision farming uses typology in arable crop-oriented farms in northern France

The adoption of precision farming techniques (PFTs) has been widely studied targeting specific PFT or farming systems along with the potential benefits of these PFTs in terms of yield or input use. However, few studies have examined how PFTs are adopted and used at the farm level. In this study a preliminary investigation was made of on-farm PFT uses in the Oise region (northern France). Three main PFTs were identified in the area: Global Navigation Satellite Systems (GNSS) guidance, section control, and variable rate (VR) application. For each farm, the use of every PFT was defined by the technical characteristics of the equipment, the field operation(s) concerned, the targeted crop(s), the aim of the use, the PFT adoption drivers, and the perceived impacts by the farmers. These different variables were combined into a typology of PFT uses. The results show that most of the farms combined GNSS guidance for all technical operations and section control, whereas VR application was less common. Section control was largely used by farmers for liquid fertilizers and phytochemical spraying. The typology shows three to five types of use for each PFT, which differ in terms of technique adoption drivers, e.g. reducing on-farm work or adaptation to field morphology. According to literature, economic impacts were found to be the most frequent, however farmers seemed unable to quantify them. Social impacts such as reduced work time and fatigue were also frequent and are becoming the main motivation for using PFT on farms studied. Further research is needed to assess the use trajectories of PFT along with the motivations of each PFT use.

     

传统小农户和现代农业的融合机制研究李欢欢1 石晓华2(河南经贸学院,河南郑州450018； 河南师范大学 河南新乡 453003)

基本国情和资源禀赋决定了一个国家的农业经营规模,农业发展的一般规律决定小农户家庭经营将是我国很长一个时期农业经营的主要方式。本文从科学认识小农户与现代农业发展衔接弱势入手,遵循现代农业的发展规律,在鼓励发展多种形式的适度规模同时,建议以现代科技和装备、现代管理意识等现代要素武装小农户,建立多层次农业社会化服务,完善扶持小农户发展的扶持政策,使小农户顺利进入现代农业的发展轨道。     

Local agro-ecological knowledge and its relationship to farmers’ pest management decision making in rural Honduras

Integrated pest management (IPM) has been widely promoted in the developing world, but in many regions its adoption rates have been variable. Experience has shown that to ensure IPM adoption, the complexities of local agro-production systems and context-specific folk knowledge need to be appreciated. Our research explored the linkages between farmer knowledge, pest management decision making, and ecological attributes of subsistence maize agriculture. We report a case study from four rural communities in the highlands of southeast Honduras. Communities were typified by their agro-environments, IPM training history, and levels of infestation by a key maize pest, the fall armyworm (Spodoptera frugiperda Smith). Although variable, infestation levels generally did not justify pest management intervention. Consequently, crop losses from this pest were considered of low importance and most farmers proceeded in a rational fashion by refraining from action in their fields. Farmers attributed the low degree of pest infestation predominantly to abiotic causal factors (rainfall, temperature). The role of natural enemies in controlling this pest (i.e., biological control) was deemed of low importance by farmers; nevertheless, a broad array of such organisms was mentioned by farmers as operating in their maize crop. Farmers’ knowledge of natural enemies only partially matched scientific knowledge and was associated with the ecological features of their respective field settings. Local knowledge about natural enemies was mainly restricted to abundant and easily observable predatory species. Farmers who were knowledgeable about biological control were also familiar with a larger variety of pest management alternatives than uninformed farmers. Management options covered a wide range of curative techniques, including conservation biological control. Farmers who relied on insecticides to manage pest outbreaks knew less about biological control and pesticide alternatives. In contrast, farmers who received IPM training mentioned more types of natural enemies and were familiar with a broader range of alternative pest management tactics. Our research suggests that IPM training modifies local knowledge to better fit its environmental context. This paper provides insights in the environmental context of local agro-ecological knowledge and its linkage with pest management decision making. It also constitutes a basis for modifying IPM extension programs to deliver locality-specific technologies while strengthening the local knowledge base. Kris A. G. Wyckhuys is a Belgian bio-science engineer and entomologist currently employed as postdoctoral researcher at the University of Minnesota. For his PhD research at Purdue University he quantified social and ecological contributions to farmers’ adoption of insect pest management technologies in Honduran subsistence maize. He has a keen interest in the ecological facets of IPM and biological control, as well as in technological innovation in smallholder production systems, ethno-entomology and traditional pest management. Robert J. O’Neil is a Professor of Entomology specializing in biological control, predator–prey dynamics, and implementing biological control in IPM systems. His current work focuses on the ecology and management of the soybean aphid, Aphis glycines Matsumura, an invasive pest of soybeans in North America.     

农户低碳减排技术采纳行为研究

以稻田甲烷减排技术为例,运用二元选择模型和泊松回归模型对微观农户农业低碳减排技术采纳意愿和采纳数量及各自影响因素进行分析。研究表明,提高农户对气候变化的认知能显著提高减排技术的采纳意愿,通过科技示范户对减排技术的试验示范能显著提高减排技术采纳数量;农业技术推广服务、信贷的可获得性、农田水利基础设施3个因素同时显著影响采纳意愿和采纳数量。因此,加强对农户气候变化知识的教育以及不同类型适应性行为的指导,健全低碳农业技术创新与推广机制,建立低碳农业技术推广配套服务和补贴机制是降低低碳技术采纳门槛、促进农户低碳减排技术采纳的主要途径。     

Farm and Operator Characteristics Affecting the Awareness and Adoption of Precision Agriculture Technologies in the US

Precision agriculture (PA) technologies have been commercially available since the early 1990s. However, not only has the pace of adoption in the US been relatively modest but a surprisingly large number of producers are not familiar with these technologies. Using farm level survey data, this study quantifies the role that awareness plays in the decision to adopt PA technology and allows us to explore the potential for public or private information programs to affect the diffusion of PA. PA adoption and awareness are modeled as jointly determined dichotomous variables and their determinants are estimated using a two-stage (i.e. instrumental variable) logistic specification. The first-stage logit model indicated that operator education and computer literacy, full-time farming, and farm size positively affected the probability of PA awareness while the effect of age was negative. Grain and oilseed farms (i.e. corn, soybean, and small grains) and specialty crop farms (i.e. fruits, vegetables, and nuts) as well as farms located in the Heartland and Northern Great Plains regions were most likely to be aware of PA technologies. The second-stage PA adoption logit model, which included an instrumental variable to account for the endogeneity of awareness, revealed that farm size, full-time farming, and computer literacy positively influenced the likelihood of PA adoption. Grain and oilseed farms were the most likely types of farms to adopt PA as were farms in the Heartland region. Awareness, as defined in this study, was not found to be limiting the adoption of PA, suggesting that farmers for whom the technology is profitable are already aware of the technology and that a sector-wide public or private initiative to disseminate PA information would not likely have a major impact on PA diffusion.     

Participation,empowerment, and farmer evaluations: A comparative analysis of IPM technology generation in Nicaragua

The heated debate over the limited impact of integrated pest management (IPM) in Central American agriculture suggests that we need to investigate the mechanisms of IPM technology generation. CATIE/MAG-IPM Nicaragua initiated a comparative study of two prototypic models with tomato farmers in the Sébaco Valley, in 1990–91. I created two ideal types from the literature: the scientist-led and farmer-led models. Each model was represented by three different communities. The study focused on the: 1) technology generation process, 2) IPM technologies and farmer opinion of IPM, 3) forms of participation and empowerment by farmers and scientists, and 4) institutionalization of the two models. The investigation methodology consisted of intensive pre- and post-program interviews, participant observation, and statistical analysis of experimental insect and production variables. This paper focuses on farmer participation, empowerment, and evaluation of the two models. In the farmer-led model, farmer participation was greater than in the scientist-led model in number of farmers and farm units involved. They achieved five forms of influence, and six out of eight levels of empowerment in the farmer-led model. In the scientistled model, farmers achieved two forms of influence and two out of eight levels of empowerment. Farmer evaluations were varied and complex. In general, farmers in the scientist-led model encouraged CATIE/MAG-IPM to host more meetings and expand farmer involvement. In the farmer-led model the farmers enjoyed the biological information, new technologies, and discussion. They suggested changes for future meetings.     

A proposed framework for accelerating technology trajectories in agriculture: a case study in China

Precision agriculture (PA) technologies have great potential for promoting sustainable intensification of food production, ensuring targeted delivery of agricultural inputs, and hence food security and environmental protection. The benefits of PA technologies are applicable across a broad range of agronomic, environmental and rural socio-economic contexts globally. However, farmer and land-manager adoption in low to middle income countries has typically been slower than that observed in more affluent countries. China is currently engaged in the process of agricultural modernisation to ensure food security for its 1.4 billion population and has developed a portfolio of policies designed to improve food security, while simultaneously promoting environmental protection. Particular attention has been paid to the reduction of agricultural inputs such as fertilisers and pesticides. The widespread adoption of PA technologies across the Chinese agricultural landscape is central to the success of these policies. However, socio-economic and cultural barriers, farm scale, (in particular the prevalence of smaller family farms) and demographic changes in the rural population, (for example, the movement of younger people to the cities) represent barriers to PA adoption across China. A framework for ensuring an acceptable and accelerated PA technology trajectory is proposed which combines systematic understanding of farmer and end-user priorities and preferences for technology design throughout the technology development process, and subsequent end-user requirements for implementation (including demonstration of economic and agronomic benefits, and knowledge transfer). Future research will validate the framework against qualitative and quantitative socio-economic, cultural and agronomic indicators of successful, or otherwise, PA implementation. The results will provide the evidence upon which to develop further policies regarding how to secure sustainable food production and how best to implement PA in China, as well as practical recommendations for optimising end-user uptake.     

家庭农场测土配方施肥技术采纳行为及收入效应研究

测土配方施肥技术不仅有利于减少化肥的施用,还有利于控制农业面源污染,促进农民节支增收,是实现农业可持续发展的重要方式。基于理性小农理论,利用东北地区种植型家庭农场调查数据,运用内生转换模型,分析影响家庭农场采纳测土配方施肥技术的行为因素,探究测土配方施肥技术对家庭农场农业收入效应的影响。结果表明,东北地区家庭农场测土配方施肥技术采纳率仅为44.62%,采纳率偏低。年龄对该技术采纳呈现负向影响,受教育程度、农业技术培训、风险偏好、经营规模、土地流转期限和示范农场显著正向影响家庭农场对该技术的选择;受教育程度越高、接受过农业技术培训、风险偏好和示范农场对采纳该技术的家庭农场增收效果显著,经营规模大的家庭农场其采纳测土配方施肥技术收入提升效果最好。研究表明,测土配方施肥技术具有明显正向收入效应,能够显著提高家庭农场农业收入。因此,提出加快健全测土配方施肥技术推广机制,提升家庭农场主的人力资本水平,逐步改善测土配方施肥技术应用的约束条件,完善风险补偿机制,提倡家庭农场适度规模经营等政策建议。