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Squires, T
Sharma, V
Sherafat, A
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Authors
Oliveira, L.P
Ortiz, B.V
Morata, G.T
Squires, T
Jones, J
Elvir Flores, A
Miao, Y
Sharma, V
Lacerda, L
Bhandari, S
Acosta, M
Cordova Gonzalez, C
Raheja, A
Sherafat, A
Topics
On Farm Experimentation with Site-Specific Technologies
Drainage Optimization and Variable Rate Irrigation
Artificial Intelligence (AI) in Agriculture
Type
Oral
Poster
Year
2022
2024
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1. Is Row-unit Vibration Affected by Planter Speeds and Downforce?

Row-unit vibration is an issue created mainly by planter`s opening disks and gauge-wheels contact with the ground. Variability on row-unit vibration could interfere on seed metering and delivery process, affecting crop emergence and final stand. With the amount of embedded technology present on planters, producers are being encouraged to increase planting speeds, which is also one of the main factors for row-unit vibration increasement. In this way, knowing the proper speeds, and using other instruments... L.P. Oliveira, B.V. Ortiz, G.T. Morata, T. Squires, J. Jones

2. Evaluating the Potential of Integrated Precision Irrigation and Nitrogen Management for Corn in Minnesota

The environmental impact of irrigated agriculture on ground and surface water resources in Minnesota is of major concern. Previous studies have focused on either precision irrigation or precision nitrogen (N) management, with very limited studies on the integrated precision management of irrigation and N fertilizers, especially in Minnesota. The Dualex Scientific sensor is a leaf fluorescence sensor that has been used to diagnose crop N... A. Elvir flores, Y. Miao, V. Sharma, L. Lacerda

3. Leveraging UAV-based Hyperspectral Data and Machine Learning Techniques for the Detection of Powderly Mildew in Vineyards

This paper presents the development and validation of machine learning models for the detection of powdery mildew in vineyards. The models are trained and validated using custom datasets obtained from unmanned aerial vehicles (UAVs) equipped with a hyperspectral sensor that can collect images in visible/near-infrared (VNIR) and shortwave infrared (SWIR) wavelengths. The dataset consists of the images of vineyards with marked regions for powdery mildew, meticulously annotated using LabelImg. ... S. Bhandari, M. Acosta, C. Cordova gonzalez, A. Raheja, A. Sherafat