[HTML][HTML] A review of imaging techniques for plant disease detection

V Singh, N Sharma, S Singh - Artificial Intelligence in Agriculture, 2020 - Elsevier
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 …

On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey

H Orchi, M Sadik, M Khaldoun - Agriculture, 2022 - mdpi.com
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 …

Wheat yellow rust detection using UAV-based hyperspectral technology

A Guo, W Huang, Y Dong, H Ye, H Ma, B Liu, W Wu… - Remote Sensing, 2021 - mdpi.com
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 …

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 …

Intelligent detection for sustainable agriculture: a review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection

A Morchid, M Marhoun, R El Alami, B Boukili - Multimedia Tools and …, 2024 - Springer
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 …

Enhancing wheat Fusarium head blight detection using rotation Yolo wheat detection network and simple spatial attention network

DY Zhang, HS Luo, T Cheng, WF Li, XG Zhou… - … and Electronics in …, 2023 - Elsevier
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 …

Recurrent-based regression of Sentinel time series for continuous vegetation monitoring

A Garioud, S Valero, S Giordano, C Mallet - Remote Sensing of …, 2021 - Elsevier
Dense time series of optical satellite imagery describing vegetation activity provide essential
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

C Gao, W Guo, C Yang, Z Gong, J Yue, Y Fu… - … and Electronics in …, 2024 - Elsevier
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 …

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 …

Detection of wheat Fusarium head blight using UAV-based spectral and image feature fusion

H Zhang, L Huang, W Huang, Y Dong… - Frontiers in plant …, 2022 - frontiersin.org
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 …