CropCare App
Published: 2026
Author(s) Name: Himanshu Bagwaiya, Ruchi Jha, Saloni Patel, Sejal Mehunkar, Sneha Tikar, Ritik Karma, Tushar |
Author(s) Affiliation: Prestige Institute of Engineering Management and Research, Indore, Madhya Pradesh, India.
Locked
Subscribed
Available for All
Abstract
CropCare and farm productivity are paramount to the sustenance of the increasingly large global population. The future of farming is on the verge of revolution through technology, especially through machine learning. CropCare is a revolutionary mobile application on iOS and Android platforms, which aims to help farmers in crop care. CropCare incorporates a wide range of functionalities, from weather prediction and a forum where people can exchange ideas to a sophisticated diagnostic tool for crop diseases as well as exhaustive information on cures and causative organisms. CropCare uses machine learning algorithms to scan crop pictures and recognise the disease correctly. Once the disease is recognised, CropCare gives exact details about the likely causes and treatment. Further, the app provides real-time weather patterns and predictions in relation to the location of the user, allowing farmers to plan intelligently in terms of sowing, irrigation, and harvesting. The collaborative feature invites farmers to interact with agricultural researchers and analysts to exchange innovative solutions alongside best practices.
Keywords: Mobile application, Machine learning, Weather forecasting.
View PDF