No abstract

No abstract

Core Ideas There is a perception that adoption of precision agriculture has been slow.Precision agriculture is not one technology but a toolkit from which farmers choose what they need.Global Navigation Satellite Systems guidance is being adopted rapidly.Variable rate technology adoption rarely exceeds 20% of farms.Use of precision agriculture technology on non‐mechanized farms is almost nonexistent. There is a perception that adoption of precision agriculture (PA) has been slow. This study reviews the public data on farm level use of PA in crop production worldwide. It examines adoption estimates for PA from completed surveys that utilized random sampling procedures, as well as estimates of adoption using other survey methods, with an objective to document the national or regional level adoption patterns of PA using existing data. The analysis indicates that Global Navigation Satellite Systems (GNSS) guidance and associated automated technologies like sprayer boom control and planter row or section shutoffs have been adopted as fast as any major agricultural technology in history. The main reason for the perception that PA adoption is slow is because PA is often associated with variable rate technology (VRT)—just one of many PA technologies, one of the first adopted by many farmers, but that now rarely exceeds 20% of farms. This level of adoption suggests that farmers like the idea of VRT, but are not convinced of its value. VRT adoption estimates for niche groups of farmers may exceed 50%. The biggest gap in PA adoption is for medium and small farms in the developing world that do not use motorized mechanization.

The objective of this study is to determine the potential for using spatial econometric analysis of combine yield monitor data to estimate the site-specific crop response functions. The specific case study is for site-specific nitrogen (N) application to corn production in Argentina. Spatial structure of the yield data is modeled with landscape variables, spatially autoregressive error and groupwise heteroskedasticity. Results suggest that N response differs by landscape position, and that site-specific application may be modestly profitable. Profitability depends on the model specification used, with all spatial models consistently indicating profitability, whereas the nonspatial models do not. Copyright 2004, Oxford University Press.

This study reviewed research published after 1990 on the economics of agricultural mechatronic automation and robotics, and identified research gaps. A systematic search was conducted from the following databases: ScienceDirect, Business Source Complete, Wiley, Emerald, CAB Abstract, Greenfile, Food Science Source and AgEcon Search. This identified 4817 documents. The screening of abstracts narrowed the range to a dataset of 119 full text documents. After eligibility assessment, 18 studies were subjected to a qualitative analysis, with ten focused on automation of specific horticultural operations and eight related to autonomous agricultural equipment. All of the studies found some scenarios in which automation and robotic technologies were profitable. Most studies employed partial budgeting considering only costs and revenues directly changed by the introduction of automation or robotics and assuming everything else constant. None examined cropping system changes, or regional and national impacts on markets, trade and labour demand. The review identified a need for in-depth research on the economic implications of the technology. Most of the studies reviewed estimated economic implications assuming that technology design parameters were achieved and/or based on data from prototypes. Data are needed on the benefits and problems with using automation and robotics on farm. All of the studies reviewed were in the context of agriculture in developed countries, but many of the world's most pressing agricultural problems are in the developing world. Economic and social research is needed to understand those developing country problems, and guide the engineers and scientists creating automation and robotic solutions.

Site‐specific farming (SSF) practices are being adopted at an accelerating rate, but evidence of their profitability has been mixed or missing. This contribution evaluates the profitability of SSF practices by synthesizing quantitative and qualitative research results within the context of the economics of information technology. The profitability results from nine published field research studies on variable rate (VR) fertilizer application are reviewed using partial budgets adjusted to include minimum costs and grid cell areas for each study. Profitability results correlated closely with the gross revenue earning potential of the crop, so VR fertilizer application was unprofitable on wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.), sometimes profitable on corn (Zea mays L.), and profitable on sugarbeet (Beta vulgaris subsp. L. vulgaris). Although the formal published literature has ignored the profitability of yield mapping, production economics and farmer interviews suggest that yield mapping is profitable when it reveals yield patterns that can be managed at acceptable cost and when the information has compensating off‐field value. Manageable yield variability includes not only VR input management, but also whole‐field improvements such as field drainage, land leveling, windbreaks, and fencing. Off‐field value can come from cheaper on‐farm experimentation and greater negotiating power with landlords. Farmers and agribusinesses committed to field crop production for the long term should develop SSF capabilities. But because SSF practices are site‐specific, their profitability potential too is site‐specific. This site specificity extends beyond the farm field to the crop rotation, and the capabilities and opportunities available to the farm or agribusiness manager. Research Question Site‐specific farming (SSF) practices are being adopted at an accelerating rate, especially for midwestern U.S. field crop production. It is widely claimed that SSF will increase profitability by reducing unneeded input use and increasing crop yields where there exists unmet yield potential. Yet evidence of profitability is often based on anecdotes rather than more generalizable quantitative research. The formal, published research studies that exist are difficult to compare, because they use different budgeting assumptions. For practices such as yield mapping, there are no empirical research analyses of profitability. This study evaluates the profitability of SSF practices (i) by standardizing budgeting assumptions, where appropriate, and (ii) by drawing on economic insights about information system value where budgeting is not appropriate. Literature Summary The profitability of variable rate (VR) application of macronutrient fertilizers was found to range from quite profitable to very unprofitable, according to crop, size of field sub‐areas sampled, and nutrient applied. This was true both among research studies conducted in the field and among those conducted as computer simulations. However, partial budgeting metho...

The production and trade of cowpea is a growing business in West Africa. But a better understanding of consumer preferences is essential to market development. The objective of the study was to determine the impact of cowpea grain quality characteristics on market price. The data for the study were collected from markets in Nigeria, Ghana, and Mali. Hedonic pricing methods provide a statistical estimate of premiums and discounts. The results indicated that cowpea consumers in Ghana, Mali, and Nigeria are willing to pay a premium for large cowpea grains. Bruchid damage is not statistically significant in any market. The impact of price on other cowpea quality characteristics such as skin color and texture and eye color vary locally. Implications for development of the cowpea value chain are as follows: (a) researchers should identify cost-effective ways to increase cowpea grain size because larger grain are preferred and (b) serving local markets requires a portfolio of grain skin and eye color and skin texture combinations. [EconLit citations: Q130]. © 2009 Wiley Periodicals, Inc.

Two mail surveys were carried out in Denmark and the Eastern Corn Belt, USA in 2002. Questionnaires were sent to 580 farmers who had used precision agriculture (PA) and 198 responses were received. The surveys focused on the current status of use of PA in both countries, including: PA practices, equipment and software, Internet and e-mail use, information sources for PA, satisfaction level from service providers, data handling, interpretation, storage and ownership, value of data for decision making, changes in management practices, desired information and services, and the next planned step in the practice of PA. The survey results showed more similarities in practicing PA between the two countries than differences. Time requirement and high cost of data handling were cited as the main problems. Survey respondents found soil maps to be more valuable than yield maps in management decisions. About 80% of the respondents would like to store the PA data themselves. The majority of the respondents indicated that they have changed their management practices due to PA, but not substantially. Some 90% of the respondents used the Internet and e-mail for agricultural purposes, but only a small number for PA websites.