PCCSegNet—An Attention-Based Encoder–Decoder Network for Determining Green Canopy Cover in Potato Crops Using Visual Imagery

Accurate estimation of green canopy cover percentage (CC%) is essential for assessing crop growth, health, and yield potential. CC% offers insights into plant development, nutrient uptake, and water use efficiency, supporting sustainable potato (Solanum tuberosum L.) production. Traditional CC% esti...

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Үндсэн зохиолчид:	Sunayan Saha, Tanuj Misra, Ranjeet Ranjan Jha, Debasish Chakraborty, Dibyendu Deb, Jagdev Sharma, Anil Sharma, Brajesh Singh, Nilimesh Mridha, Mrinmoy Ray, Shailendra Kumar, M. S. Dhanya
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Canopy cover deep learning potato visual imagery
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11303066/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!