Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Hyperspectral sensing of plant diseases: Principle and methods
Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …
usually appear when the plants are infected severely, rapid identification approaches are …
Identification of crop diseases and insect pests based on deep learning
B Wang - Scientific Programming, 2022 - Wiley Online Library
In order to solve the problems of many kinds of crop diseases and pests, fast diffusion
speed, and long time of manual identification of diseases and pests, a crop disease and pest …
speed, and long time of manual identification of diseases and pests, a crop disease and pest …
Monitoring wheat fusarium head blight using unmanned aerial vehicle hyperspectral imagery
The monitoring of winter wheat Fusarium head blight via rapid and non-destructive
measures is important for agricultural production and disease control. Images of unmanned …
measures is important for agricultural production and disease control. Images of unmanned …
Detection of cotton verticillium wilt disease severity based on hyperspectrum and GWO-SVM
N Zhang, X Zhang, P Shang, R Ma, X Yuan, L Li, T Bai - Remote Sensing, 2023 - mdpi.com
In order to address the challenge of early detection of cotton verticillium wilt disease,
naturally infected cotton plants in the field, which were divided into five categories based on …
naturally infected cotton plants in the field, which were divided into five categories based on …
Dual-branch collaborative learning network for crop disease identification
Crop diseases seriously affect the quality, yield, and food security of crops. redBesides,
traditional manual monitoring methods can no longer meet intelligent agriculture's efficiency …
traditional manual monitoring methods can no longer meet intelligent agriculture's efficiency …
A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series …
Introduction Accurate and timely detection of plant stress is essential for yield protection,
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
allowing better-targeted intervention strategies. Recent advances in remote sensing and …
Using UAV-based hyperspectral imagery to detect winter wheat fusarium head blight
Fusarium head blight (FHB) is a major winter wheat disease in China. The accurate and
timely detection of wheat FHB is vital to scientific field management. By combining three …
timely detection of wheat FHB is vital to scientific field management. By combining three …
A review of hybrid approaches for quantitative assessment of crop traits using optical remote sensing: research trends and future directions
A Abdelbaki, T Udelhoven - Remote Sensing, 2022 - mdpi.com
Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …