A survey on deep learning and its impact on agriculture: challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
Lad-net: A novel light weight model for early apple leaf pests and diseases classification
Aphids, brown spots, mosaics, rusts, powdery mildew and Alternaria blotches are common
types of early apple leaf pests and diseases that severely affect the yield and quality of …
types of early apple leaf pests and diseases that severely affect the yield and quality of …
Research on fertilization decision method for rice tillering stage based on the coupling of UAV hyperspectral remote sensing and WOFOST
S Li, Z **, J Bai, S **, ZHU **gbo, LI Runmei… - Smart …, 2023 - smartag.net.cn
[Significance] The scientific dataset of agricultural pests and diseases is the foundation for
monitoring and warning of agricultural pests and diseases. It is of great significance for the …
monitoring and warning of agricultural pests and diseases. It is of great significance for the …