Paper Key : IRJ************233
Author: Ritayan Patra,Debmalya Chatterjee,Anchit Kumar Ghosh
Date Published: 03 Mar 2023
Abstract
Agriculture is one most important occupation around the world. It is a prime source of income for a huge number of people around the world. It is like a treasure house of a country. The farmers are the treasurer of this treasure house. However, a huge threat persists in agriculture. Every year crops are attacked by a number of diseases leading to poor agricultural output. This creates a domino effect involving loss of livelihood of farmers, increase in price of essential food items, scarcity of food and decline in agricultural economy. The quick detection of the disease in the crops is of utmost importance. In this paper, the authors have used deep learning technique to fully automate the detection of disease in crops as well as speedy distribution of required pesticides in the fields. The authors have used Convolutional Neural Network (CNN) along with transfer learning to detect the type of disease and RPi microcontroller is used to spray the pesticide. The deep model is trained on wide range of plants with high accuracy.
DOI LINK : 10.56726/IRJMETS34030 https://www.doi.org/10.56726/IRJMETS34030