• Mr. Pranay Ramdiya
• Mrs. Mukti Awad Ghorpade

The goal of this analysis is to introduce a system that uses a convolutional neural network technique to mechanically diagnose crop leaf health. Separation supported selection of applicable options like color, texture of pictures created mistreatment Deep Learning Techniques.Green plants square measure a great deal vital to the human environment; they type the idea for the sustainability and future health of environmental systems. so it's vital to grow healthy plants. The disease can be cured if it's celebrated within the earlier stage. we've planned a system using raspberry pi to find healthy and unhealthy plants. We've got used a tensor flow tool for numerical computation. It is often utilized in Associate in Nursing controlled atmosphere farms such it detects the signs of malady whenever they seem on the leaves of the plant.

Identification leaf Health, Convolutional Neural Network (CNN), Deep learning, leaf dataset, Epochs, Hidden Layers, Tensorflow , Keras , Raspberry Pi, Pi Camera.

"AUTOMATIC IDENTIFICATION OF PLANT HEALTH USING RASPBERRY PI AND NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c264-c270, August-2021, Available :http://www.jetir.org/papers/JETIR2108284.pdf

"AUTOMATIC IDENTIFICATION OF PLANT HEALTH USING RASPBERRY PI AND NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc264-c270, August-2021, Available at : http://www.jetir.org/papers/JETIR2108284.pdf