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[HTML][HTML] A review of imaging techniques for plant disease detection
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …
factors affecting domestic market condition in any country. Agricultural production is also a …
On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey
The agricultural sector remains a key contributor to the Moroccan economy, representing
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
about 15% of gross domestic product (GDP). Disease attacks are constant threats to …
Wheat yellow rust detection using UAV-based hyperspectral technology
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …
Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning
MB Almoujahed, AK Rangarajan, RL Whetton… - … and Electronics in …, 2022 - Elsevier
Fusarium head blight (FHB) is among the most devastating fungal diseases in cereal crops,
reducing yield, and affecting human and livestock health through the production of …
reducing yield, and affecting human and livestock health through the production of …
Intelligent detection for sustainable agriculture: a review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection
Plant diseases pose a significant threat to the sustainability of the environment and global
food security. With an increasing population density and the growing demand for plant …
food security. With an increasing population density and the growing demand for plant …
Enhancing wheat Fusarium head blight detection using rotation Yolo wheat detection network and simple spatial attention network
The detection of Fusarium head blight (FHB), a destructive disease in wheat, can be
performed through digit imaging. To improve detection accuracy and overcome challenges …
performed through digit imaging. To improve detection accuracy and overcome challenges …
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …
A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments
Fusarium head blight (FHB) is one of the most common and destructive infections in wheat,
posing a serious threat to food security and human health. Real-time detection and severity …
posing a serious threat to food security and human health. Real-time detection and severity …
Monitoring of wheat fusarium head blight on spectral and textural analysis of UAV multispectral imagery
C Gao, X Ji, Q He, Z Gong, H Sun, T Wen, W Guo - Agriculture, 2023 - mdpi.com
Crop disease identification and monitoring is an important research topic in smart
agriculture. In particular, it is a prerequisite for disease detection and the map** of infected …
agriculture. In particular, it is a prerequisite for disease detection and the map** of infected …
Detection of wheat Fusarium head blight using UAV-based spectral and image feature fusion
Infection caused by Fusarium head blight (FHB) has severely damaged the quality and yield
of wheat in China and threatened the health of humans and livestock. Inaccurate disease …
of wheat in China and threatened the health of humans and livestock. Inaccurate disease …