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 …

Lad-net: A novel light weight model for early apple leaf pests and diseases classification

X Zhu, J Li, R Jia, B Liu, Z Yao, A Yuan… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …