Design and Development of a Smart Variable Rate Sprayer Using Deep Learning

Design and Development of a Smart Variable Rate Sprayer Using Deep Learning

The uniform application (UA) of agrochemicals results in the over-application of harmful chemicals, increases crop input costs, and deteriorates the environment when compared with variable rate application (VA). A smart variable rate sprayer (SVRS) was designed, developed, and tested using deep lear...

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Bibliographic Details
Main Authors: Nazar Hussain, Aitazaz A. Farooque, Arnold W. Schumann, Andrew McKenzie-Gopsill, Travis Esau, Farhat Abbas, Bishnu Acharya, Qamar Zaman
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
agrochemicals
deep convolutional neural networks
environmental risks
percent area coverage
smart variable rate sprayer
variable rate application
Online Access:https://www.mdpi.com/2072-4292/12/24/4091

Internet

https://www.mdpi.com/2072-4292/12/24/4091

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