Enhancing food crop classification in agriculture through dipper throat optimization and deep learning with remote sensing

Author:

Antony AnilORCID,R Ganesh KumarORCID

Publisher

Elsevier BV

Reference24 articles.

1. Rice farming age detection use drone based on SVM histogram image classification;Marsujitullah;J. Phys., Conf. Ser.,2019

2. Use of unmanned aerial vehicle imagery and deep learning UNet to classification upland crop in small scale agricultural land;Choi;J. Korean Soc. Surv. Geodesy Photogramm. Cartogr.,2020

3. Corn classification using deep learning with UAV imagery. An operational proof of concept;Trujillano,2018

4. Semantic segmentation using deep learning with vegetation indices for rice lodging identification in multi-date UAV visible images;Yang;Remote Sens.,2020

5. Qualification of soybean responses to flooding stress using UAV-based imagery and deep learning;Zhou;Plant Phenom.,2021

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