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Profitability and Success Stories in Precision Agriculture
Standards & Data Stewardship
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Authors
Applegate, D.B
Archer, J.K
Ault, A
Balmos, A
Been, T
Berger, A.W
Berne, D.T
Booij, J.A
Buckmaster, D
Bullock, R.J
Caicedo, J.H
Celades, J.A
Charvat jr., K
Charvat, K
Chowdury, M
Ciampitti, I
Clay, D.E
Coble, K
Craker, B.E
Daggett, D.G
Delgadillo, C.A
Dhoubhadel, S
Dillon, C
Drummond, S.T
Ellixson, A
Ellsworth, J.W
Erdle, K
Ferreyra, R
Gandorfer, M
Gandorfer, M
García, C.E
Goeringer, P
Gowler, A
Griffin, T
Griffin, T.W
Griffin, T.W
Hambly, H
Haringx, S.C
Hillyer, C
Horakova, S
Howatt, T
Huang, J
Hunt, A
Karatay, Y
Kempenaar, C
Kepka, M
Kessel, G.J
Khakbazan, M
Kitchen, N.R
Krogmeier, J
Kyveryga, P.M
Layton, A
Li, X
Lukas, V
Massey, R.E
McFadden, J
Meyer-Aurich, A
Michiels, P
Molendijk, L.P
Mora, H
Morris, T
Moulin, A
Mueller, D
Murrell, S
Nef, B.K
Nerpel, D
Nieman, S.T
Noel, S
Reddy, L
Reznik, T
Rhea, S.T
Rosburg, A
Russo, J.M
Sanders, P
Schleicher, S
Schulte-Ostermann, S
Schultz, E.D
Seger, J
Shearouse, T.W
Shen, F
Shockley, J.M
Stelford, M.W
Sudduth, K.A
Tevis, J.W
Thompson, L
Tremblay, N
Wagner, P
Wang, Y
Wilson, J.A
Wilson, J.W
Xie, R
Yeager, E.A
Yost, M.A
Zhang, Y
van Evert, F.K
Topics
Standards & Data Stewardship
Profitability and Success Stories in Precision Agriculture
Type
Oral
Poster
Year
2016
2018
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Topics

Filter results20 paper(s) found.

1. FOODIE Data Model for Precision Agriculture

The agriculture sector is a unique sector due to its strategic importance for both citizens (consumers) and economy (regional and global), which ideally should make the whole sector a network of interacting organizations. The FOODIE project aims at building an open and interoperable agricultural specialized platform hub on the cloud for the management of spatial and non-spatial data relevant for farming production. The FOODIE service platform deals with including their thematic, spatial, and ... K. Charvat, T. Reznik, K. Charvat jr., V. Lukas, S. Horakova, M. Kepka

2. Modus: a Standard for Big Data

Modus Standard is a system of defined terminology, agreed metadata and file transfer format that has grown from a need to exchange, merge and trend agricultural testing data. The three presenters will discuss steps taken to develop the system, benefits to data exchange, current user base and additions being made to the standard. ... D. Nerpel, J.W. Ellsworth, A. Hunt

3. Key Data Ownership, Privacy and Protection Issues and Strategies for the International Precision Agriculture Industry

Precision agriculture companies seek to leverage technology to process greater volumes of data, greater varieties of data, and at a velocity unfathomable to most. The promises of boundless benefits are coupled with risks associated with data ownership, stewardship and privacy. This paper presents some risks related to the management of farm data, in general, as well as those unique to operating in the international arena.  Examples of U.S. and international laws related to data protectio... J.K. Archer, C.A. Delgadillo, F. Shen

4. Ownership and Protections of Farm Data

Farm data has been a contentious point of debate with respect to ownership rights and impacts when access rights are misappropriated. One of the leading questions farmers ask deals with the protections provided to farm data. Although no specific laws or precedence exists, the possibility of trade secret is examined and ramifications for damages discussed. Farm management examples are provided to emphasize the potential outcomes of each possible recourse for misappropriating farm data. ... A. Ellixson, P. Goeringer, T. Griffin

5. Toward Geopolitical-Context-Enabled Interoperability in Precision Agriculture: AgGateway's SPADE, PAIL, WAVE, CART and ADAPT

AgGateway is a nonprofit consortium of 240+ businesses working to promote, enable and expand eAgriculture. It provides a non-competitive collaborative environment, transparent funding and governance models, and anti-trust and intellectual property policies that guide and protect members’ contributions and implementations. AgGateway primarily focuses on implementing existing standards and collaborating with other organizations to extend them when necessary. In 2010 AgGateway id... R. Ferreyra, D.B. Applegate, A.W. Berger, D.T. Berne, B.E. Craker, D.G. Daggett, A. Gowler, R.J. Bullock, S.C. Haringx, C. Hillyer, T. Howatt, B.K. Nef, S.T. Rhea, J.M. Russo, S.T. Nieman, P. Sanders, J.A. Wilson, J.W. Wilson, J.W. Tevis, M.W. Stelford, T.W. Shearouse, E.D. Schultz, L. Reddy

6. Rationale for and Benefits of a Community for On-Farm Data Sharing

Most data sets for evaluating crop production practices have too few locations and years to create reliable probabilities from predictive analytical analyses for the success of the practices. Yield monitors on combines have the potential to enable networks of farmers in collaboration with scientists and farm advisors to collect sufficient data for calculation of more reliable guidelines for crop production showing the probabilities that new or existing practices will improve the efficiency of... T. Morris, N. Tremblay, P.M. Kyveryga, D.E. Clay, S. Murrell, I. Ciampitti, L. Thompson, D. Mueller, J. Seger

7. An Economic Feasibility Assessment for Adoption of Autonomous Field Machinery in Row Crop Production

A multi-faceted whole farm planning model was developed to compare conventional and autonomous machinery for grain crop production.  Results suggested that autonomous machinery could be an economically viable alternative to conventional manned machinery if the establishment of intelligent controls was cost effective.  An increase in net returns of 22% over operating with conventional machinery was found.  This study also identified the break-even investment price for intelligen... J.M. Shockley, C. Dillon

8. A Long-Term Precision Agriculture System Maintains Profitability

After two decades of availability of grain yield-mapping technology, long-term trends in field-scale profitability for precision agriculture (PA) systems and conservation practices can now be assessed. Field-scale profitability of a conventional or ‘business-as-usual’ system with an annual corn (Zea mays L.)-soybean (Glycine max [L.]) rotation and annual tillage was assessed for 11 years on a 36-ha field in central Missouri during 1993 to 2003. Following this, a ‘precision a... M.A. Yost, N.R. Kitchen, K.A. Sudduth, S.T. Drummond, R.E. Massey

9. Yield Maps, Soil Maps, and Technical Efficiency: Evidence from U.S. Corn Fields

Yield maps and GPS-based soil maps have been increasingly used in U.S. agriculture but little research has explored the economic relationship between mapping technologies and agricultural productivity. Research on this relationship is lacking, perhaps because maps are information inputs that do not directly enter the production function in a comparable way to conventional inputs. A stochastic frontier model was used to evaluate one potential avenue through which mapping technologies may influ... J. Mcfadden, A. Rosburg

10. Evaluation of the Potential for Precision Agriculture and Soil Conservation at Farm and Watershed Scale: A Case Study

Precision agriculture and soil conservation have the potential to increase crop yield and economic return while reducing environmental impacts. Landform, spatial variability of soil processes, and temporal trends may affect crop N response and should be considered for precision agriculture. The objective of this research was to evaluate the viability of precision agriculture in improving N use efficiency and profitability at the farm and watershed level in western Canada. Two studies are desc... M. Khakbazan, A. Moulin, J. Huang, P. Michiels, R. Xie

11. Barriers to Adoption of Smart Farming Technologies in Germany

The number of smart farming technologies available on the market is growing rapidly. Recent surveys show that despite extensive research efforts and media coverage, adoption of smart farming technologies is still lower than expected in Germany. Media analysis, a multi stakeholder workshop, and the Adoption and Diffusion Outcome Prediction Tool (ADOPT) (Kuehne et al. 2017) were applied to analyze the underlying adoption barriers that explain the low to moderate adoption levels of smart farming... M. Gandorfer, S. Schleicher, K. Erdle

12. Akkerweb: A Platform for Precision Farming Data, Science, and Practice

The concept of precision farming (PF) was formulated about 40 years ago and the scientific knowledge for some applications of PF in The Netherlands has been available for almost 20 years. Also, in many cases equipment is available to implement PF in practice. In spite of all this PF uptake is still limited. An important reason for the limited uptake of PF is in the challenges that must be overcome to let data flow from sensors to data storage, to combine data sources and process them into rec... F.K. Van evert, T. Been, J.A. Booij, C. Kempenaar, G.J. Kessel, L.P. Molendijk

13. Using Profitability Map to Make Precision Farming Decisions: A Case Study in Mississippi

Recent development in precision agriculture technologies have generated massive amount of geospatial data of farming, such as yield mapping, seeding rates, input applications, and so on. However, producers are still struggling to convert those precision data into farm management decisions to improve productivity and profitability of farming.  Indeed, deriving accurate decisions at each site of the field requires complex and comprehensive modeling of crop yield responses to vari... X. Li, K. Coble

14. Toward a Precision Agricultural Implementation for Sugar Cane Plantations in Southwestern Region of Colombia, South America

The Colombian Sugar Cane Research Center, CENICAÑA, has initiated an ambitious project for the implementation of Precision Agriculture (PA) technologies in the Cauca river valley region, where one of its main objectives is to have the ability to collect large volumes of geospatial data. The main sugarcane growers in the country perform their work in the selected work area, which covers an area of ​​approximately 242,000 ha, characterized by diverse topographic and edaphic condition... J.A. Celades, J.H. Caicedo, C.E. García, H. Mora

15. Adoption of Precision Agriculture Technology: A Duration Analysis

Precision agriculture technologies have been available for adoption and utilization at the farm level for several decades. Some technologies have been readily adopted while others were adopted more slowly. An analysis of 621 Kansas Farm Management Association (KFMA) farmer members provided insights regarding adoption, upgrading, and abandonment of technology. The likelihood that farms adopt specific technology given that other technology had been adop... T.W. Griffin, E.A. Yeager

16. The Impact of Precision Agriculture Technologies on Farm Profitability in Kansas

Even with more than a decade long adoption of the precision agriculture (PA) technologies in the United States, its impact on farm profitability is still not clear. This paper uses farm level data from Kansas Farm Management Association (KFMA) to conduct the ex-post evaluation of PA technologies on farm profitability in Kansas. The analysis of the data using propensity score matching method indicates that there is on an average $60,000 difference in net returns of the farm with at least one P... S. Dhoubhadel, T.W. Griffin

17. Variable-Rate-Fertilization of Phosphorus and Lime – Economic Effects and Maximum Allowed Costs for Small-Scale Soil Analysis

The pH values and macro nutrient contents are characterised by considerable variance within a field. A constant-rate-fertilization, which is practiced at most farms, does not reduce this effect, it may even boost variance. Besides the suboptimal nutrient supply, the site-specific yield potential is not exploited. Constant-rate-fertilization and liming results in an inefficient utilisation by over- and undersupply of most of the areas within a field. Fertilization with lime and phosphorus caus... S. Schulte-ostermann, P. Wagner

18. Risk Efficiency of Site-Specific Nitrogen Management with Respect to Grain Quality

Profitability analyses of site-specific nitrogen management strategies have often failed to provide reasons for adoption of precision farming implements. However, often effects of precision farming on product quality and price premiums were not taken into account. This study aims to evaluate comparative advantages of site-specific nitrogen management over uniform nitrogen management with respect to aspects of risk, considering fertilizer effects on grain quality and price premiums. We develop... A. Meyer-aurich, Y. Karatay, M. Gandorfer

19. Use Cases for Real Time Data in Agriculture

Agricultural data of many types (yield, weather, soil moisture, field operations, topography, etc.) comes in varied geospatial aggregation levels and time increments. For much of this data, consumption and utilization is not time sensitive. For other data elements, time is of the essence. We hypothesize that better quality data (for those later analyses) will also follow from real-time presentation and application of data for it is during the time that data is being collected that errors can ... J. Krogmeier, D. Buckmaster, A. Ault, Y. Wang, Y. Zhang, A. Layton, S. Noel, A. Balmos

20. A Gap Analysis of Broadband Connectivity and Precision Agriculture Adoption in Southwestern Ontario, Canada

In Southwestern Ontario (Canada), the availability of broadband, or high-speed internet, likely influences the adoption of precision agriculture (PA) technologies and functions of these technologies which enable real-time data sharing between the field and the digital cloud, and back again to the farm-level user. This paper examines the reasons why PA technologies are, or are not adopted, and adoption in relation to varying levels of broadband access. Broadband access is defined here with var... H. Hambly, M. Chowdury