학술논문

AgriCare: An Android Application for Detection of Paddy Diseases
Document Type
Conference
Source
2022 3rd International Conference for Emerging Technology (INCET) Emerging Technology (INCET), 2022 3rd International Conference for. :1-6 May, 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Training
Image processing
Crops
Focusing
Machine learning
Production
Soil
farmers
infected paddy crops
paddy plant diseases
Language
Abstract
Agriculture is a significant part of India’s economy being one of the main sources of living. Paddy plant is one of the most important food crops of India covering about one-fourth of the total cropped area. Although having the potential in the market, India’s lower paddy crop productivity/hector and higher cost of production is a major concern for farmers. The low yield can be addressed by designing a system that helps farmers identify and predict diseases in the paddy crops. There are so many types of paddy diseases. It is very difficult to manually identify appropriate properties for distinguishing different types of crop diseases. So an android app will help farmers to identify and detect a paddy plant disease using images of the disease-infected paddy crop based on machine learning image processing techniques.