PlantDoc-Plant Disease Detection using AI

Adiba Khan; Dr. Atul Srivastava

doi:10.54060/jieee.v4i1.86

Authors

Adiba Khan Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India
Dr. Atul Srivastava Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India

DOI:

https://doi.org/10.54060/jieee.v4i1.86

Keywords:

Artificial Intelligence, convolution neural network, Deep learning, plant disease detections

Abstract

Gardening is a hobby which requires dedication and consistency. It is something more than just watering a plant. Taking care of Garden plants is very important as most of the plants are prone to diseases frequently. Plant Diseases ruin the plant and ultimately may kill it with time so timely identification and treatment of the disease is required for a healthy plant. This also helps to preserve many threatened species of plants. PlantDoc uses Artificial Intelligence model created on Convolution Neural Network algorithm of Deep Learning to solve this problem. The model is trained with images of different plant leaves to identify defected plants. PlantDoc helps in disease detection. It uses computer vision concept of AI to find the disease of plant and provide solution for that automati-cally. PlantDoc uses MERN stack. PlantDoc web application successfully helps to identify plant diseases of various plants by analyzing plant leaf image and suggests cure to treat it. This helps in treatment of plants timely which helps to stop the further spread of dis-ease and provides cure.

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