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Profitability issues have constrained adoption of precision agriculture. Recently a question has been raised about role of management time in the adoption of precision agriculture. It has been hypothesized that producers prefer convenient... more
Profitability issues have constrained adoption of precision agriculture. Recently a question has been raised about role of management time in the adoption of precision agriculture. It has been hypothesized that producers prefer convenient technologies which economize on management time, to those which require more analysis and decision making. This paper provides an overview of the current status of precision agriculture
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Argentine farm managers see precision agriculture as a means to reduce costs in grain production, to increase productivity and make input use more efficient. Yield monitors, Global Positioning Systems (GPS) guidance and satellite images... more
Argentine farm managers see precision agriculture as a means to reduce costs in grain production, to increase productivity and make input use more efficient. Yield monitors, Global Positioning Systems (GPS) guidance and satellite images are increasingly used in large operations, while Variable Rate Application (VRA) is rare. Factors that encourage its adoption include: large farm operations with relatively high capital
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This paper shows that spatial panel data models can be successfully applied to an econometric analysis of farm-scale precision agriculture data. The application focuses on the estimation of the effect of controlled drainage water... more
This paper shows that spatial panel data models can be successfully applied to an econometric analysis of farm-scale precision agriculture data. The application focuses on the estimation of the effect of controlled drainage water management equipment on corn yields. Using field-level precision agriculture data and spatial panel techniques, the yield response equation is estimated using the spatial autoregressive error random
Research Interests: Precision Agriculture, Crop insurance, Applied Economics, Panel Data, Water Management, and 13 moreSpatial autocorrelation, Spatial Heterogeneity, Statistical Significance, American, Research Method, Working Papers, Econometric analysis, Random Effects Model, Bayesian hierarchical model, Random-Effects Models, Statistical Model, Crop Yield, and Spatial Dependence
n the U.S., building soil phosphorus (P) and potassium (K) levels typically becomes an issue on farms that have had limited nutrient application and when doing site-specific management. Intensive soil sam- pling often reveals islands of... more
n the U.S., building soil phosphorus (P) and potassium (K) levels typically becomes an issue on farms that have had limited nutrient application and when doing site-specific management. Intensive soil sam- pling often reveals islands of low P and/or K in otherwise well-managed fields. Most soil fertility rec- ommendations suggest a slow buildup of those low fertility areas. Financial analysis
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One of the most appealing concepts of site-specific agriculture is in the precise application of crop inputs—giving each part of a field exactly what is needed vs. uniformly across a field, where the soil, past treatment, drainage, or any... more
One of the most appealing concepts of site-specific agriculture is in the precise application of crop inputs—giving each part of a field exactly what is needed vs. uniformly across a field, where the soil, past treatment, drainage, or any other number of factors can vary. Especially for crop nutrients, the potential exists in precision application to not only increase crop
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With harvest now winding down in many areas, some of the major questions about management practices such as the performance of specific hybrids and varieties, the timeliness of certain field practices, and even the local effects of Mother... more
With harvest now winding down in many areas, some of the major questions about management practices such as the performance of specific hybrids and varieties, the timeliness of certain field practices, and even the local effects of Mother Nature are already well known. But more detailed analyses will follow, some using yield monitor data in a computer-intensive and knowledge-intensive process.
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Page 1. Inclusion of Alfalfa (Medicago Sativa L.) in Crop Rotations in the Eastern Corn Belt: L Some Environmental and Economic Implications John C. Foltz Marshall A. Martin Jess Lowenberg-DeBoer ABSTRACT. This article ...
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At precision agriculture data analysis workshops there are often diverging views on the kind of statistics that is appropriate for sensor based or remotely sensed data such as yield monitor data and imagery. One view is that yield monitor... more
At precision agriculture data analysis workshops there are often diverging views on the kind of statistics that is appropriate for sensor based or remotely sensed data such as yield monitor data and imagery. One view is that yield monitor data represent a sample. In that case, ...
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The advent of the combine yield monitor reduced the time commitment of harvesting on-farm trials to levels motivating some farmers to conduct experiments. Although harvest time requirements have been reduced, they were not eliminated.... more
The advent of the combine yield monitor reduced the time commitment of harvesting on-farm trials to levels motivating some farmers to conduct experiments. Although harvest time requirements have been reduced, they were not eliminated. Planting and harvesting on-farm trials ...
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This paper shows that spatial panel data models can be successfully applied to an econometric analysis of farm-scale precision agriculture data. The application focuses on the estimation of the effect of controlled drainage water... more
This paper shows that spatial panel data models can be successfully applied to an econometric analysis of farm-scale precision agriculture data. The application focuses on the estimation of the effect of controlled drainage water management equipment on corn yields. Using field-level precision agriculture data and spatial panel techniques, the yield response equation is estimated using the spatial autoregressive error random effects model with temporal heterogeneity, incorporating spatial dependence in the error term, while ...
Research Interests: Precision Agriculture, Crop insurance, Applied Economics, Panel Data, Water Management, and 13 moreSpatial autocorrelation, Spatial Heterogeneity, Statistical Significance, American, Research Method, Working Papers, Econometric analysis, Random Effects Model, Bayesian hierarchical model, Random-Effects Models, Statistical Model, Crop Yield, and Spatial Dependence
Executive Summary This document serves to share our techniques for managing the analysis of site-specific precision agriculture data for the purposes of analyzing field-scale on-farm trial experiments. The content of this document is the... more
Executive Summary This document serves to share our techniques for managing the analysis of site-specific precision agriculture data for the purposes of analyzing field-scale on-farm trial experiments. The content of this document is the culmination of over a decade of on-farm trial and spatial analysis experience which continually expands. Working with precision agriculture data can be very frustrating even for those versed in GIS and programming. This protocol was written to assist other analysts of precision agriculture ...
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Executive Summary This document serves to share our techniques for managing the analysis of site-specific production data for the purposes of analyzing field-scale experiments. The content of this document is the culmination of over a... more
Executive Summary This document serves to share our techniques for managing the analysis of site-specific production data for the purposes of analyzing field-scale experiments. The content of this document is the culmination of over a decade of on-farm trial and spatial analysis experience and is still growing. The reader is invited to make suggestions and comments that may be incorporated into future versions of this document.