A5039610151- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Plant Pathogens and Fungal Diseases
- Remote Sensing in Agriculture
- Plant Disease Management Techniques
- Remote Sensing and Land Use
Henan Agricultural University
2022-2024
Crop disease identification and monitoring is an important research topic in smart agriculture. In particular, it a prerequisite for detection the mapping of infected areas. Wheat fusarium head blight (FHB) serious threat to quality yield wheat, so rapid wheat FHB important. This study proposed method based on unmanned aerial vehicle (UAV) low-altitude remote sensing multispectral imaging technology combined with spectral textural analysis monitor FHB. First, imagery population was collected...
The recognition accuracy of traditional image methods is heavily dependent on the design complicated and tedious hand-crafted features. In view problems poor feature extraction, this study presents a methodology for estimation severity wheat Fusarium head blight (FHB) with small sample dataset based transfer learning technology convolutional neural networks (CNNs). Firstly, we utilized potent expression capabilities CNNs to realize automatic FHB characteristics. Using technology, VGG16,...