Journal of Informatics Electrical and Electronics Engineering, 2023, Vol. 04, Iss. 01, S. No. 002, pp. 1-10 ISSN (Online): 2582-7006 ISSN (Online) : 2582-7006 1 Journal of Informatics Electrical and Electronics Engineering (JIEEE) A2Z Journals PlantDoc-Plant Disease Detection using AI Adiba Khan 1 , Atul Srivastava 2 1,2 Department of Computer Science and Engineering, Amity School of Engineering and Technology Lucknow, Amity University Uttar Pradesh, India How to cite this paper: A. Khan and A. Srivastava, PlantDoc-Plant Dis- ease Detection using AI,” Journal of Informatics Electrical and Electronics Engineering (JIEEE), Vol. 04, Iss. 01, S No. 002, pp. 110, 2023. https://doi.org/10.54060/jieee.v4i1. 86 Received: 01/01/2023 Accepted: 01/03/2023 Published: 25/04/2023 Copyright © 2023 The Author(s). This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licens es/by/4.0/ 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 disease and provides cure. Keywords Artificial Intelligence, convolution neural network, Deep learning, plant disease detec- tions. 1. Introduction Many of us are fond of Gardening. A Garden with plants purifies the air and provides oxygen rich atmosphere to the inhabitants. Many of us realized this importance of plants during Covid 19 which made oxygen levels of many to go down and impact the recovery process adversely. We can keep various Medicinal plants in the garden for everyday use like Tulsi, Aloe Vera, pepper mint, curry leaves, etc. They may be used as nature’s store of natural remedy to inhibit and treat various diseases . We may have a kitchen garden with many vegetable and fruit plants. A garden can be composed of fruit trees like lemon, guava, papaya, etc. It is a small setup of flora and fauna whereby we happen to see birds, bees and butterflies coming in. A garden provides us to experience nature’s bliss and instill positivity in inhabitants. Due to deforestation indirectly ozone layer 1 adibakhn2020@gmail.com, 2 asrivastava5@lko.amity.edu Open Access