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Imaoka, K
Vargas, R
Chang, C
Singh, M
Adedeji, O
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Authors
Singh, M
Sharma, A
Singh, G
Fixen, P
Kumar, S
Singh, M
Mirzakhaninafchi, H
Modi, R.U
Ali, M
Bhardwaj, M
Soni, R
Karn, R
Gu, H
Adedeji, O
Guo, W
Ghimire, B.P
Adedeji, O
Lin, Z
Guo, W
Barbosa, M
Oliveira, L
Tyson, C
Shirley, A
Santos, R
Sales, L
Vargas, R
Karn, R
Adedeji, O
Ghimire, B.P
Abdalla, A
Sheng, V
Ritchie, G
Guo, W
Adedeji, O
Guo, W
Alwaseela, H
Ghimire, B
Wieber, E
Karn, R
Ghimire, B
Karn, R
Adedeji, O
Ritchie, G
Guo, W
Ghimire, B
Karn, R
Adedeji, O
Guo, W
Adedeji, O
Karn, R
Ghimire, B.P
Guo, W
Wieber, E.N
Singh, M
Imaoka, K
Imaoka, K
Chang, C
Topics
Sensor Application in Managing In-season Crop Variability
Small Holders and Precision Agriculture
Applications of Unmanned Aerial Systems
Decision Support Systems
Precision Horticulture
Precision Agriculture and Global Food Security
Drainage Optimization and Variable Rate Irrigation
Decision Support Systems
Precision Agriculture for Sustainability and Environmental Protection
Type
Oral
Poster
Year
2010
2018
2022
2024
2025
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Authors

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1. Evaluation of Unmanned Aerial Vehicle Images in Estimating Cotton Nitrogen Content

Estimating crop nitrogen content is a critical step for optimizing nitrogen fertilizer application. The objective of this study was to evaluate the application of UAV images in estimating cotton (Gossypium hirsutum L.) N content. This study was conducted in a dryland cotton field in Garza County, Texas, in 2020. The experiment was implemented as a randomized complete block design with three N rates of 0, 34, and 67 kg N ha-1. A RedEdge multispectral sensor was used to acquire... R. Karn, H. Gu, O. Adedeji, W. Guo