Optimizing Plant Cultivation Using Machine Learning: Climate, Soil, and Control Predictions
Year: 2025
Type: conference-paper
Abstract: —Agriculture is required for food production, but it can be hard to choose the right climate, soil, and pest control agents. This paper presents a machine learning system that helps farmers by providing the best conditions for plant growth. We use a Random Forest algorithm to predict the right climate, soil type, correct pesticides, and when to use them. Whenever a user enters the name of a plant, the system suggests things based on historical records. With this, farmers can make informed decisions, optimize crop production, and reduce losses using the right methods of farming.
Authors: P S, Sreelakshmi, T J, Jobin
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W6930693050
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