A hybrid CNN-LSTM model for diagnosing rice nutrient levels at the rice panicle initiation stage

A hybrid CNN-LSTM model for diagnosing rice nutrient levels at the rice panicle initiation stage

Nitrogen (N) and potassium (K) are two key mineral nutrient elements involved in rice growth. Accurate diagnosis of N and K status is very important for the rational application of fertilizers at a specific rice growth stage. Therefore, we propose a hybrid model for diagnosing rice nutrient levels a...

Full description

Bibliographic Details
Main Authors: Fubing Liao, Xiangqian Feng, Ziqiu Li, Danying Wang, Chunmei Xu, Guang Chu, Hengyu Ma, Qing Yao, Song Chen
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Journal of Integrative Agriculture
Subjects:
dynamic model of deep learning
UAV
rice panicle initiation
nutrient level diagnosis
image classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311923001570

Similar Items

Similar Items