Deep Convolution Network Analysis for Crop Growth Prediction

Author:

Sivakumar Ramkumar1,C K Vasudevan2,Karipp Sarnaam Mustafa3,Karthikeyan Sahaana4,Sankaranarayanan Suresh5

Affiliation:

1. San Jose State University,Department of Computer Engineering,Sanjose,USA

2. Deloitte,Business Technology Analyst,Chennai,India

3. Infosys,Systems Engineer,Bangalore,India

4. Tata Consultancy Service,Assistant Systems Engineering,Chennai,India

5. SRM Institute of Science and Technology,Department of Networking and communications,Chennai,India

Publisher

IEEE

Reference11 articles.

1. Plant phenology recognition using deep learning: Deep-Pheno

2. A comprehensive review on automation in agriculture using artificial intelligence;kirtan;Artif Intell Agricult,2019

3. Introduction to Convolution Neural Networks;o’shea,2015

4. Automated Green House System for Tomato Crop using Deep Learning;nagaraj;International Journal of Sustainable Agricultural Management and Informatics,2019

5. Review- MobileNet V2 Classification;sik-ho,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inflate Agriculture Crop Yield Prophesy through Deep Neural Network Schemes;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21

2. Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning;Sensors;2023-03-19

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