Revolutionizing Fertilizer Management: Harnessing Machine Learning to Slash NH3 Emissions by 38%
Fertilizer management plays a crucial role in reducing global ammonia emissions from crop production, which threatens air quality, human health, and ecosystems. However, accurately estimating these emissions is challenging due to limited data, hindering the ability to identify effective mitigation strategies. To address this issue, researchers have developed a machine learning model that provides crop-specific…