Year: 2025
Type: article
Abstract: To address the issues facing agriculture, the Computer Vision Plant Diagnostics offers an innovative and practical solution. It is important to implement better farming methods and efficiently manage Plant diseases as the world's population continues to rise and puts strain on food production. This system makes use of the machine's power. Using machine learning and image recognition, farmers, gardeners, and agricultural experts can now have access to a program that can accurately identify Plant illnesses. Users can rely on model within the system to identify the disease and suggest required measures for limiting its impact, by uploading pictures of plants or leaf’s. Key-Words: PyTorch, Disease, Convolutional Neural Networks
DOI: 10.55041/ijsrem44084
Authors: NISHIT JAIN, PALAK LOTHE
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: bronze
OpenAlex ID: W4409448221