Determining Spatiotemporal Distribution of Macronutrients in a Cornfield Using Remote Sensing and a Deep Learning Model

Determining Spatiotemporal Distribution of Macronutrients in a Cornfield Using Remote Sensing and a Deep Learning Model

Fertilizer misapplications have induced widespread environmental deteriorations, climatic catastrophes, and economic losses; meanwhile, the Precision Agriculture (PA) endorsements have been influential in alleviating these issues. This study intended to tackle the fertilizer consumption inefficienci...

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Bibliographic Details
Main Authors: Mustafa Jaihuni, Fawad Khan, Deoghyun Lee, Jayanta Kumar Basak, Anil Bhujel, Byeong Eun Moon, Jaesung Park, Hyeon Tae Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network-regression
macronutrients in soil
NDVI
UAV
Online Access:https://ieeexplore.ieee.org/document/9354155/

Internet

https://ieeexplore.ieee.org/document/9354155/

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