Optimizing Plant Cultivation Using Machine Learning: Climate, Soil, and Control Predictions
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2025
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| _version_ | 1866901691742289920 |
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| author | P S, Sreelakshmi T J, Jobin |
| author_facet | P S, Sreelakshmi T J, Jobin |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15470618 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Optimizing Plant Cultivation Using Machine Learning: Climate, Soil, and Control Predictions P S, Sreelakshmi T J, Jobin Machine Learning random forest algorithm plant cultivation climate prediction soil type detection pest control smart farming <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> |
| title | Optimizing Plant Cultivation Using Machine Learning: Climate, Soil, and Control Predictions |
| topic | Machine Learning random forest algorithm plant cultivation climate prediction soil type detection pest control smart farming |
| url | https://doi.org/10.5281/zenodo.15470618 |