Rapid detection of soybean nutrient deficiencies with YOLOv8s for precision agriculture advancement

Abstract Early detection of nutrient deficiencies is crucial for optimizing crop yields and ensuring sustainable agricultural practices. This study presents a novel application of the YOLOv8s object detection model for identifying nitrogen, phosphorus, and potassium deficiencies in soybean plants. E...

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Auteurs principaux:	Minsoo Jeong, Sihyun Park, Sook-Min Kwon, KyeongMo Lim, Da-Ryung Jung, Hong-Seok Lee, Hei Jung Kim, Jae-Ho Shin
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-04-01
Collection:	Scientific Reports
Sujets:	Artificial intelligence Nutrient deficiency Soybeans Smart farming YOLOv8
Accès en ligne:	https://doi.org/10.1038/s41598-024-83295-6
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