CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups

Author:

Dhal Sambandh Bhusan1,Mahanta Shikhadri2,Gadepally Krishna Chaitanya1,He Samuel1,Hughes Mary1,Moore Janie1,Nowka Kevin J.1,Kalafatis Stavros1

Affiliation:

1. Texas A&M University,Department of Electrical and Computer Engineering,College Station,USA

2. Texas A&M University,Department of Biological and Agricultural Engineering,College Station,USA

Publisher

IEEE

Reference22 articles.

1. Introduction to convolutional neural networks;jianxin;National Key Lab for Novel Software Technology,2017

2. Convolutional Neural Network (CNN) for Image Detection and Recognition

3. Nutrient, acid and water budgets of hydroponically grown crops;wheeler;International Symposium on Growing Media and Hydroponics,1997

4. Assessment of nutrient competition and nutrient requirement in soybean/sorghum intercropping system

5. Agriculture satellite image segmentation using a modified artificial Hopfield neural network

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