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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Minsoo Jeong, Sihyun Park, Sook-Min Kwon, KyeongMo Lim, Da-Ryung Jung, Hong-Seok Lee, Hei Jung Kim, Jae-Ho Shin
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2025-04-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Artificial intelligence Nutrient deficiency Soybeans Smart farming YOLOv8
Онлайн хандалт:	https://doi.org/10.1038/s41598-024-83295-6
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!