Evaluating the Impact of Agricultural Technology on Greenhouse Gas Emissions Using Machine Learning

Agriculture is a significant contributor to global warming, primarily due to the release of greenhouse gases like methane (CH4) and nitrous oxide (N2O). These gases have a much higher global warming potential than carbon dioxide (CO2), necessitating targeted strategies for their reporting and reduc...

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Bibliografske podrobnosti

Principais autores:	Eko Priyono, Ispandi Ispandi, Rusdi Rusdi
Format:	Artigo
Jezik:	Inglês
Izdano:	Asosiasi Doktor Sistem Informasi Indonesia 2024-12-01
Serija:	Journal of Information Systems and Informatics
Teme:	Keywords: Agriculture, Emissions, Greenhouse gases, Machine Learning Classification.
Online dostop:	https://journal-isi.org/index.php/isi/article/view/870
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