Deep learning based computer vision approaches for smart agricultural applications-Reference-Cited by-同舟云学术

Deep learning based computer vision approaches for smart agricultural applications

Published:2022 Issue: Volume:6 Page:211-229
ISSN:2589-7217
Container-title:Artificial Intelligence in Agriculture
language:en
Short-container-title:Artificial Intelligence in Agriculture

Author:

Dhanya V.G.,Subeesh A.,Kushwaha N.L.,Vishwakarma Dinesh Kumar,Nagesh Kumar T.,Ritika G.,Singh A.N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Agricultural and Biological Sciences,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference222 articles.

1. Tomato plant disease detection using transfer learning with C-GAN synthetic images;Abbas;Comput. Electron. Agric.,2021

2. Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model;Abdalla;IEEE Trans. Ind. Inform.,2021

3. On farm automatic sheep breed classification using deep learning;Abu Jwade;Comput. Electron. Agric.,2019

4. Image analysis for individual identification and feeding behaviour monitoring of dairy cows based on Convolutional Neural Networks (CNN);Achour;Biosyst. Eng.,2020

5. Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms;Adnan;Comput. Electron. Agric.,2021

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