Gardado en:
| Main Authors: | , |
|---|---|
| Formato: | Recurso digital |
| Idioma: | inglés |
| Publicado: |
Zenodo
2025
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.5281/zenodo.15470618 |
| Tags: |
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Table of Contents:
- <p><span><em><span>Abstract</span></em><span>—</span><span>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.</span></span></p>