Does Internet use promote the adoption of agricultural technology? Evidence from 1 449 farm households in 14 Chinese provinces

China is characterized as ‘a large country with many smallholder farmers’ whose participation in modern agriculture is key to the country's modern agriculture development. Promoting smallholder farmers’ adoption of modern agricultural production technology is one effective way to improve the capabilities of smallholder farmers. This paper aims to explore the impact of Internet use on the adoption of agricultural production technology by smallholder farmers based on a survey of 1 449 smallholders across 14 provinces in China. The results suggest that Internet use can significantly promote technology adoption, with the probability of adopting new crop varieties, water-saving irrigation technology and straw-returning technology increasing by 0.200, 0.157 and 0.155, respectively. Furthermore, the effect of Internet use is found to be heterogeneous with a greater effect on smallholder farmers having low education levels, limited training, and high incomes. To increase agricultural production technology adoption by smallholders, rural Internet infrastructure and Internet use promotion should be the focus for the Chinese government.     

Science and Technology Backyard: A novel approach to empower smallholder farmers for sustainable intensification of agriculture in China

Sustainable feeding of the growing population in China without ecological destabilization is a grand challenge. In this populous country where agriculture is dominated by smallholder farming, developing innovative technology and translating scientific knowledge into action for smallholder farmers is a crucial step in addressing this challenge. Here, we present a novel approach for technology innovation and dissemination to achieve sustainable intensification in the fields of smallholder farmers. The Science and Technology Backyard(STB) is a hub in a rural area that links knowledge with practices to promote technology innovation and exchange. In this study, the framework and functions of STB are introduced, and the key implications for sustainable intensification across millions of smallholder farmers are explicitly stated:(i) develop innovative technology based on stated demands of farmers;(ii) disseminate technology by innovative social service models though combined top-down approaches with bottom-up measures to enable smallholders in rural areas. This paper provides a perspective on transformation of small-scale agriculture toward sustainable intensification in China and useful knowledge applicable to other developing countries.     

市场经济与社区合作:泰国南奔府有机农业的个案研究

泰国的小农经济在市场化条件下顽强存在的主要原因是当地的社会结构和道德传统依然具有比较强的韧性和稳定性。对泰国南奔府的有机农业进行人类学田野调查发现,小农户在市场化情境中面临销路不稳定、农业劳动力短缺等风险,但是从事有机农业的农民通过有效运用有机农业的种植技术、社区合作网络来缓解这种风险,维护有机农业的价值。在政府政策、市场力量和“互帮互助”“团结协作”道德规范的共同作用下,小农户积极建立社区企业、学习中心等农业合作组织,这既有助于他们在参与市场化的过程中维护生计安全,同时也使这种道德规范开始具有市场经济的特征,焕发出新的生机与活力。此外,小农户的生产实践也有助于维护乡村的社会秩序,传承原有的道德规范。     

Science and Technology Backyard model: implications for sustainable agriculture in Africa

Sustainable food production to feed the growing population in Africa remains a major challenge. Africa has 64% of the global arable land but produces less than 10% of its food locally due to its inherently low soil nutrient concentrations. Poor soil fertility and a lack of fertilizer use are the major constraints to increasing crop yields in Africa. On average only about 8.8 kg NPK fertilizer is applied per hectare by African smallholder farmers. There is therefore considerable potential for increasing food production through sustainable intensification of the cropping systems. The low crop yields in Africa are also partly due to limited farmer access to modern agronomic techniques, including improved crop varieties, a lack of financial resources, and the absence of mechanisms for dissemination of information to smallholders. This study analyzed the Science and Technology Backyards (STBs) model and investigated its use for the transformation of agriculture in Africa. Some key lessons for sustainable crop intensification in Africa can be found from analysis of the STB model which is well established in China. These include (1) scientist-farmer engagement to develop adaptive and innovative technology for sustainable crop production, (2) dissemination of technology by empowering smallholders, especially leading farmers, and (3) the development of an open platform for multiple resource involvement rather than relying on a single mechanism. This review evaluates the benefits of the STB model used in China for adoption to increase agricultural productivity in Africa, with a perspective on sustainable crop intensification on the continent.     

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.     

Spatial econometric analysis of a field-scale site-specific nitrogen fertilizer experiment on wheat (Triticum aestuvum L.) yield and quality

Knowledge of site-specific response may help farmers to tailor their management decisions with the help of precision farming technologies. However, farmers often have only a vague idea of the economic potential for site-specific management of their fields, which is important for investment decisions on precision farming technologies. This study presents an on-farm experimental approach to identify the economic potential of site-specific fertilization strategies at low costs. A strip trial with winter wheat (Triticum aestivum, L.) was established with precision farming technologies. Twelve different nitrogen fertilizer rates split in two applications were applied to 30 plots over a total strip length of 1.5 km. Geo-referenced yield was recorded with the harvester. Furthermore, electrical conductivity of the soil was measured and grain quality was surveyed with hand selected samples. With the help of advanced spatial statistical methods, within-field site-specific response was modeled with sufficient accuracy at comparably low costs. Electrical conductivity of the soil, elevation above sea level, and derivates of a digital elevation model were used as covariates to identify a possible economic potential for site-specific fertilization. Yield and protein response was best predicted with spatially adjusted regression models with site-characteristics or their interaction with management variables. Protein content was essential for achieving best economic results. The economic potential for site-specific fertilization strategies for the analyzed field was below 2 €/ha. However, the approach to identify the potential may be transferred to other locations with greater potential for site-specific farming.     

Precision turfgrass management: challenges and field applications for mapping turfgrass soil and stress

Spatial and temporal variation of soil, climate, plants and irrigation requirements are challenges for modern agriculture and complex turfgrass sites. Precision agriculture (PA) evolved to improve site-specific management based on obtaining site-specific information. The focus of this concept paper is on the emerging area of precision turfgrass management (PTM) with attention given to: (a) comparing the concepts of PTM and PA in terms of driving forces and challenges that must be addressed for PTM to progress in science and practice and (b) discussion of specific field mapping applications (purposes) for different turfgrass situations such as golf courses, sod production fields and sports fields. The field applications relate to site-specific management of irrigation, salinity, fertilizer application and cultivation. To illustrate the potential for PTM, different approaches that may be necessary for PTM compared to PA are discussed. The initial factor that hindered the adoption of PTM has been the lack of mobile sensor platforms that can determine both key soil and plant properties for turfgrass situations. This paper concentrates on PTM field applications that involve mapping of both soil and plant attributes, in contrast to only optical sensing mapping.     

Farmers’ perception of precision technology: The case of autosteer adoption by cotton farmers

Precision agriculture and autosteer technology are, overall, profitable investments for farmers, as previous literature has established. However, what has not been investigated is whether or not farmers perceive these technologies as such. This research postulates that cotton farmers must see potential for higher profits as a result of adopting precision technologies in order to adopt it. Using the 2009 Southern Cotton Precision Farming Survey and multinomial logit model, this research investigates farmers’ perception of precision agriculture and how those perceptions impact adoption of the autosteer GPS guidance system. Autosteer adoption was found to be significant and positively related to the perceived future importance of precision agriculture as well as farmers’ ranking of input cost savings relative to other attributes of the autosteer GPS technology. Additionally, results show that the attributes of the cotton picker are also important factors in adoption of autosteer GPS technology.     

The adoption of drones in German agriculture: a structural equation model

Drones are one of the latest tools to have been added to farmers’ precision agriculture technology tool kit. Despite the proclaimed benefits, adoption rates of drones are low and literature regarding the adoption of drones in agriculture is scarce. Therefore, this study investigates whether an extended Technology Acceptance Model (TAM) can contribute to the understanding of latent factors influencing farmers’ intention to adopt a drone. The sample of 167 German farmers was collected in 2019 via an online survey. Using partial least squares structural equation modelling and a binary model, the TAM explains 69% of the variance in the intention to use a drone by German farmers. According to the results, raising farmers’ awareness of farm-specific areas of drone application and the confidence level of using a drone can increase farmers’ intention to adopt a drone. The results are of interest for agribusinesses developing drones as well as selling or providing drones. Furthermore, the results are of interest for researchers in precision agriculture technologies.

     

Evaluating the drivers of banana flowering cycle duration using a stochastic model and on farm production data

Precision Agriculture - The use of data produced by farmers to generate knowledge and to inform production decisions is one of the objectives of precision agriculture (PA). Frameworks to analyse...     

Improved fallows: a case study of an adaptive response in Amazonian swidden farming systems

Many smallholders in the Amazon employ swidden (slash-and-burn) farming systems in which forest or forest fallows are the primary source of natural soil enrichment. With decreasing opportunities to claim natural forests for agriculture and shrinking landholdings, rotational agriculture on smaller holdings allows insufficient time for fallow to regenerate naturally into secondary forest. This case study examines how Peruvian farmers use “improved fallows” as an adaptive response to a situation of decreasing soil fertility and how the farmers describe the rationale underlying the various actions taken in these modified fallow systems. The results indicate that farmers establish improved fallows using contextual ecological knowledge and various techniques to introduce a large diversity of tree species. This practice is also used to restore degraded land to agricultural production. The tasks of maintaining productivity on agricultural land and reforesting degraded areas is becoming increasingly urgent in the Amazon, making agricultural practices that involve reforestation and tree management highly relevant. Since swidden farming systems are the basis for the livelihoods of most Amazon smallholders, good farming practices elaborated by swidden farmers are important for sustainable small-scale family farming systems in the Amazon.     

Choice and voice: creating a community of practice in KwaZulu-Natal,South Africa

The development and utility of genetically modified (GM) crops for smallholders around the world is controversial. Critical questions include what traits and crops are to be developed; how they can be adapted to smallholders’ ecological, social and economic contexts; which dissemination channels should be used to reach smallholders; and which policy environments will enable the greatest benefits for smallholders and the rural poor. A key question is how the voices of smallholders who have experience with or desire to use GM technologies enter the larger debate. Africa has the greatest number of smallholders and poor with the least exposure to GM crops. Because of the well-established use of GM crops in South Africa by commercial farmers, we formed a community of practice (CoP) involving smallholders, extension, researchers, non-profits and agribusiness in KwaZulu-Natal to examine the conditions under which GM crops are used by smallholders, how smallholders interact with GM technologies and what insights smallholders and other stakeholders can provide regarding these questions. One of the advantages of the CoP approach is that it brings stakeholders together in a non-hierarchical way that encourages new ways of thinking and new partnerships. Such interaction around a specific project can enhance the voice of smallholders in a variety of ways. In our project, smallholder participants have increased their knowledge and can make better decisions about GM technologies, which had been barriers for them. Notably, they have also improved their knowledge of maize production practices, accessed new practice networks, and met new researchers and resource providers. They are now being integrated into these networks in a way that should improve their livelihoods and make the wants and needs of smallholders better known. Such knowledge and experience has improved their voice in agriculture and rural development discussions.     

农户割胶技术认知及其影响因素分析——基于云南和海南植胶区的调查

通过对海南和云南西双版纳植胶区465户橡胶种植户的入户调查,了解农户对割胶技术的认知情况,并建立二元Logistic回归模型对割胶技术认知的影响因素进行分析。结果显示:受教育水平、是否村干部、性别及种植面积对农户的技术认知有显著影响。受教育水平高的农户对割胶技术有更为清晰的认知;女性胶农较男性胶农对割胶技术认知水平高;村干部在橡胶技术信息获取方面比普通农户更具优势,使得他们对割胶技术认知程度较高;种植规模较大的农户对割胶技术重视程度更高,生产实践中对技术认知更清晰。     

小农户在现代农业发展中的困境与出路——基于福建省漳州市的观察

在乡村振兴与农业现代化发展大背景下,小农户经营面临前所未有的挑战。对福建省漳州地区小农户发展现状的观察发现,受主客观条件制约,小农户在现代农业发展中面临缺乏面向大市场的议价决策能力,现代科技运用滞后,与大资本间利益连接机制不稳定,农业社会化服务体系不健全等一系列困境。因此,要通过提高小农户组织化程度,拓宽市场渠道,提升小农户发展现代农业的能力,完善农业社会化服务体系,拓宽农业功能等助力小农户融入中国农业现代化进程。     

对我国未来精准农业发展的思考

从保证国家粮食安全、解决资源环境问题的角度阐述了我国发展精准农业的重要性,分析了当前我国精准农业发展需要关注的6个问题,即突破精准农业关键技术瓶颈、降低精准农业技术应用的门槛、紧密与当地农业主导产业结合、采用因地制宜的技术应用模式、采取高效灵活的技术推广模式和制定精准农业技术标准。提出了今后我国精准农业发展战略的重点为构建具有自主知识产权的精准农业技术体系、具有中国特色的精准技术应用体系、学科交叉的精准农业人才体系。     

Educational Resources for Precision Agriculture

As site-specific management evolved into precision agriculture and began to be adopted by producers in the late 1980s and early 1990s, information about precision agriculture emerged in a variety of forms. Much of the information was initially available only in industry guides and popular press articles, such as Successful Farming and Farm Journal. Today, a variety of educational resources for both producers and advisors on precision agriculture has emerged, including books, proceedings of conferences, Extension bulletins, newsletters, industry guides, and multimedia modules. Recently, the Internet has had a significant influence on the production and dissemination of information on precision agriculture. The Internet has been a particularly valuable mode of information exchange due to the rapid evolution of technology and practices associated with precision agriculture, and because many of the early adopters of precision agriculture technologies were also early adopters of electronic communication technologies.     

Rural innovation systems and networks: findings from a study of Ethiopian smallholders

Ethiopian agriculture is changing as new actors, relationships, and policies influence the ways in which small-scale, resource-poor farmers access and use information and knowledge in their agricultural production decisions. Although these changes suggest new opportunities for smallholders, too little is known about how changes will ultimately improve the wellbeing of smallholders in Ethiopia. Thus, we examine whether these changes are improving the ability of smallholders to innovate and thus improve their own welfare. In doing so, we analyze interactions between smallholders and other actors to provide new perspectives on the role played by smallholder innovation networks in the agricultural sector by drawing on data from community case studies conducted in 10 localities. Findings suggest that public extension and administration exert a strong influence over smallholder networks, potentially crowding out market-based and civil society actors, and thus limiting beneficial innovation processes. From a policy perspective, the findings suggest the need to further explore policies and programs that create more space for market and civil society to participate in smallholder innovation networks and improve welfare. From a conceptual and methodological perspective, our findings suggest the need to incorporate rigorous applications of social network analysis into the application of innovation systems theory.     

Application of a web-based remote agro-ecological monitoring system for observing spatial distribution and dynamics of Bactrocera dorsalis in fruit orchards

Improving fruit farm profitability through integrated pest management (IPM) programs is always an important issue to modern agriculture systems. In order to enhance IPM programs against Bactrocera dorsalis, an automatic infield monitoring system is required to efficiently capture long-term and up-to-the-minute environmental fluctuations in a fruit farm. In this study, a remote agro-ecological monitoring system built upon wireless sensor networks has been developed to provide precision agriculture (PA) services with large-scale, long-distance, long-term, scalable, and real-time infield data collection capabilities. Historical data with spatial information is available through a web-based decision support program built upon a database. Pest population forecast results are also provided so that farmers and government officials would be able to accurately respond to infield variations. Compared with the previous version of the system, various useful functions have been added into the system, and its accuracy has been improved when measuring different parameters in the field. The system could provide a valuable framework for farmers and pest control officials to analyze the relations between population dynamics of the fruit fly and meteorological events. Based on the analysis, a better insect pest risk assessment and accurate decision-making strategy can be made as an aid to PA against B. dorsalis.     

Science mapping approach to analyze the research evolution on precision agriculture: world,EU and Italian situation

The relevance of precision agriculture produced a growth of the related literature over the years. However, a structured analysis of the published material is still missing. Thus, this study attempts to analyze the global scientific output of precision agriculture researches published during the period 2000–2016. By using a science mapping approach, mainly based on the application of network analysis tools, it was possible to investigate pivotal aspects of this research field such as publication trends, research topics and their geographical distribution. Using the Scopus database 17,756 scientific publications were retrieved from the chosen period. The number of publications increased after 2006, highlighting the vibrancy of the field. By authoring 35% of the publications, U.S.A. and China were the most active knowledge producer countries. Moreover, the generation of time resolved maps allowed us to identify agriculture engineering, computer science and agriculture studies as three main research areas characterizing precision agriculture panorama. The paper discusses the distribution of these topics at global level, among European countries and in Italy. Overall, this analysis represents the first holistic view of precision agriculture research providing valuable information for farmers, policy makers and researchers.     

A long-term precision agriculture system sustains grain profitability

Precision Agriculture - After two decades of availability of grain yield-mapping technology, long-term trends in field-scale profitability for precision agriculture (PA) systems and conservation...