IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS

This article presents an analysis of agricultural yields in the Democratic Republic of Congo (DRC) using machine learning algorithms. The study is based on around 30,000 records covering several years of agricultural production. Each record includes variables such as seed type, climatic conditions (...

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Bibliographic Details
Main Authors:	Rodolphe Nsimba Malumba, Mardochee Longo Kayembe, Fiston Chrisnovic Balanganayi Kabutakapua, Bopatriciat Boluma Mangata, Trésor MAZAMBI KILONGO, Rufin Tabiaki Tandele, Emmanuel Ntanyungu Ndizieye, Parfum Bukanga Christian
Format:	Article
Language:	English
Published:	Community Service Research Center (LPPM) STMIK Nusa Mandiri Jakarta 2025-03-01
Series:	Techno Nusa Mandiri: Journal of Computing and Information Technology
Subjects:	agricultural yields climatic data machine learning predictive analysis regression models
Online Access:	https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/6380
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IMPROVING AGRICULTURAL YIELDS IN THE DEMOCRATIC REPUBLIC OF CONGO USING MACHINE LEARNING ALGORITHMS

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