Year: 2024
Type: article
Abstract: Forecasting susceptibility to fruit rot disease in areca nut through the analysis of weather data using machine learning techniques. The research uses data from the OpenWeatherMap API, with a specific focus on important factors like precipitation, highest temperature, and moisture levels. Research uses machine learning models to predict disease scores and categorize disease severity levels. The information is divided into separate training and testing sets, then utilized to teach the models how to predict disease outcomes using weather data
Authors: Dr. Jothimani K, P M Venugopala
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4404601540