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Poncet, A.M
Ochoa, O
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Authors
Poncet, A.M
McDonald, T.P
Pate, G
TISSEYRE, B
Fulton, J.P
Erazo, E
Mosquera, C
Ochoa, O
Topics
Education and Training in Precision Agriculture
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2024
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1. Maximizing Agriculture Equipment Capacity Using Precision Agriculture Technologies

Guidance systems are one of the primary Precision Agriculture technologies adopted by US farmers. While most practitioners establish their initial AB lines for fields based on previous management patterns, a potential exists in conducting analyses to establish AB lines or traffic patterns which maximize field capacity. The objective of this study was to... A.M. Poncet, T.P. Mcdonald, G. Pate, B. Tisseyre, J.P. Fulton

2. RMAPs: an Integrated Tool to Delimitate Homogeneous Management Zones

Management zones are one of the most studied methods in precision agriculture to optimize crop yield from the soil, plant, management, and climate input parameters. We present Rmaps, an R package that integrates soil and crop yield spatial variability using geostatistical methods and one-hidden-layer perceptron (OHLP) to identify how input parameters influence crop yield and delimitate homogenous zones. From georeferenced data of soil, plant, management, climate, and crop yield parameters, Rmaps... E. Erazo, C. Mosquera, O. Ochoa