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

Crop production optimisation: a blended technique using XGBoost and Simulated Annealing
Author(s):
Mallyala Nissie, Kasarla Sai Anirudh
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.
Article Details
Unique Paper ID: 166722 Publication Volume & Issue: Volume 11, Issue 2 Page(s): 1729 - 1734
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org