2010 Ohio Farming Practices Survey: Adoption and Use of Precision Farming Technology in Ohio (original) (raw)
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Adoption and Use of Precision Agriculture Technologies by Practitioners
A survey of farmers was initiated to ascertain the adoption and use of precision agriculture technologies as well as the barriers to and incentives for adoption. Farm-level data were collected via audience response system at the 2009 Alabama Precision Ag and Field Crops Conference. Farmers" adoption or intended adoption of differing levels of precision technology were evaluated ranging from information-intensive yield monitors to embodied-knowledge automated guidance and spray boom controls. Results were compared to statistics reported by the USDA Agricultural Resource Management Survey (ARMS) and the annual CropLife/Purdue University Precision Ag Survey where applicable. Approximately 180 Alabama farmers participated in this pilot project which is being replicated across the U.S. to compare adoption and perceptions of precision agriculture.
Precision application technology has been an important topic in agriculture in recent years. This technology has the promise to improve farm management through improved information and control over in-field variability of soil characteristics and productivity. Despite this apparent promise, recent studies have shown that adoption has been low. However, little is known about the adoption of this technology in Mississippi or the reasons for or against adoption as seen through the eyes of the producer. This survey was designed to collect basic information on producer perceptions about precision agriculture technology and to assess potential reasons for or against adoption.
INFORMATION AND THE ADOPTION OF PRECISION FARMING TECHNOLOGIES
2003
Precision farming technologies have been commercially available since the early 1990s, but the pace of adoption among U.S. farmers has been modest. This study examines the relationship between the adoption of diagnostic and application techniques of precision farming and sources of information available to farmers about precision farming. The model used in the analysis accounts for sources of self-selection in
Reasons for Adopting Precision Farming: A Case Study of U.S. Cotton Farmers
2011
We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers' decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision farming for profit reason. Farmers who perceived precision farming to be profitable adopt it to be at the forefront of agricultural technology. We also found that farmers who were concerned with environment emphasize precision farming adoption as a reason to improve environmental quality. Our results also indicate that farmers in coastal states such as Alabama, Mississippi, and North Carolina chose environmental benefits as a reason for precision farming technology adoption.
Adoption, Profitability, and Making Better Use of Precision Farming Data
2004
Precision agriculture (PA) technology has been on the market for over ten years. Global Positioning Systems (GPS), Geographic Information Systems (GIS), yield monitors, variable rate technologies (VRT) and other spatial management technologies are being used by farmers worldwide, but questions remain about the profitability of the technology and its future. This paper summarizes: 1) data on adoption of PA technology worldwide, 2) review of PA economics studies and 3) efforts to make better use of yield monitor and other sensor data in crop management. The adoption estimates are based on reports by an international network of collaborators. This paper draws on USDA ARMS data to update U.S. PA adoption numbers. The PA profitability summary goes beyond previous reviews by including a large number of publications from the last three years, a more detailed breakdown of results by technology type and new technologies. The data analysis section focuses on efforts to make use of the yield m...
Adoption and Nonadoption of Precision Farming Technologies by Cotton Farmers
2012
We analyzed data obtained from the 2009 Southern Cotton Precision Farming Survey of farmers in twelve states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons for adoption/nonadoption of precision farming technologies. Farmers provided cost, time constraint, satisfaction with the current practice and other as reasons for not adopting precision farming technology. Profit, environmental benefit and to be at the forefront of agricultural technology are main reasons for adopting precision farming technology. Results from a nested logit model indicated that formal education, farm size, and number of precision farming meeting attend by farmers have positive effect on adoption of PF technologies. Moreover, spatial yield variability increases probability of adopting precision farming technologies for profit reasons.
Farm Types and Precision Agriculture Adoption: Crops, Regions, Soil Variability, and Farm Size
SSRN Electronic Journal, 2020
In the United States average adoption rates have increased for precision agriculture (PA) technologies used to produce many field crops. PA makes use of information collected on the farm to target site-specific, intensive management of farm production. The United States Department of Agriculture (USDA) Agricultural Resource Management Survey (ARMS) allows close examination of regional patterns of adoption, and how crop types and region interact with differences in farm sizes and soil productivity variability to influence adoption rates. The most common PA technologies are guidance systems that use global positioning systems (GPS) to steer tractors and other farm equipment. Remote sensing, soil mapping, and yield mapping all use GPS to geolocate data and create maps used to guide farm management decision. Variable rate input-application technologies (VRT) make use of remote images, soil tests, yields maps and other sources of information to apply different, more precise levels of inputs in farmer's fields. GPS guided VRT fertilization was introduced in the early 1990s and increased slowly over the last three decades. The ARMS data for winter wheat (2017), corn (2016) and soybeans (2012) showed use of VRT seeding and pesticide applications growing rapidly. The data indicated that PA technology was being used on farms across all sizes and all regions, with adoption occurring more rapidly on larger farms. VRT use on soybean farms was highest in areas of higher soil variability.
ADOPTION OF PRECISION FARMING TECHNOLOGIES: USA AND EU SITUATION
SEA - Practical Application of Science, 2020
Through this article, the author aims to identify the adoption rates and types of precision farming technologies embraced by farmers in the USA and the EU. Research papers in relation to the adoption of precision agriculture technologies were collected and divided into two groups, according to their geographic region: USA and EU. Books, scientific articles, reports and conference papers were reviewed and studied. Likewise, the material about the adoption of precision agriculture technologies was accumulated. The level of adoption in the USA differs from one state to another. The percentage rate of adoption is higher in the Southern States, and the overall adoption of precision agriculture technologies reaches to about 91%. United Kingdom, Denmark and Germany have higher rates of adoption compared with other countries in the EU. Similarly, the percentage rate of adoption is higher in the USA in comparison with EU countries. In the USA prevails a diversification of precision agriculture technologies adopted by US farmers. On the contrary, in the EU, the majority of research papers reported mainly some level of adoption of yield monitors/mapping and variable rate technologies for applying inputs.