Crop production optimisation: a blended technique using XGBoost and Simulated Annealing

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Mallyala Nissie; Kasarla Sai Anirudh

Crop production optimisation: a blended technique using XGBoost and Simulated Annealing

Authors: Mallyala Nissie, Kasarla Sai Anirudh

Unique Paper ID: 166722
Volume: 11
Issue: 2
PageNo: 1729-1734

Keywords: Farming Machine learning Stimulated Annealing XGBoost

Abstract:
India's economy thrives mainly because of agriculture, which takes care of billions of people. Even so, it requires a new way to help improve crop production since there exist problems like over population, changing weather patterns or need for sustainable practices. The authors of this paper decided to introduce a different technique for boosting crop yields in different parts of India through a combination of Simulated Annealing (SA) and Extreme Gradient Boosting (XGBoost) models. The methodology aims at making crop management approaches better suited.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 2
PageNo: 1729-1734

Crop production optimisation: a blended technique using XGBoost and Simulated Annealing

Available:https://ijirt.org/article?manuscript=166722

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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