Towards a low-cost comprehensive process for on-farm precision experimentation and analysis
Few mechanisms turn field-specific ecological data into management recommendations for
crop production with appropriate uncertainty. Precision agriculture is mainly deployed for …
crop production with appropriate uncertainty. Precision agriculture is mainly deployed for …
Counterfactual explanations of neural network-generated response curves
G Morales, J Sheppard - 2023 International Joint Conference …, 2023 - ieeexplore.ieee.org
Response curves exhibit the magnitude of the response of a sensitive system to a varying
stimulus. However, response of such systems may be sensitive to multiple stimuli (ie, input …
stimulus. However, response of such systems may be sensitive to multiple stimuli (ie, input …
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
G Morales, J Sheppard - arXiv preprint arXiv:2403.10730, 2024 - arxiv.org
In Precision Agriculture, the utilization of management zones (MZs) that take into account
within-field variability facilitates effective fertilizer management. This approach enables the …
within-field variability facilitates effective fertilizer management. This approach enables the …
Classification of Nitrogen Deficiency in Wheat Crop Images Using Different Machine Learning Approaches with ORANGE Tool
A key criterion for determining the health of the wheat crop is the nitrogen content. In
agricultural modeling, the leaf color chart (LCC) is used to compare the color of the leaf to its …
agricultural modeling, the leaf color chart (LCC) is used to compare the color of the leaf to its …
On-Farm Precision Experiments (OFPE) framework: tapping local data to optimize crop sub-field scale decisions
Precision agriculture and open-source data repositories provide a plethora of field-specific
ecological data about agroecosystems, but few mechanisms have been developed to turn …
ecological data about agroecosystems, but few mechanisms have been developed to turn …