Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging

D Zhang, X Zhou, J Zhang, Y Lan, C Xu, D Liang - PloS one, 2018 - journals.plos.org
Detection and monitoring are the first essential step for effective management of sheath blight
(ShB), a major disease in rice worldwide. Unmanned aerial systems have a high potential …

UAV remote sensing detection of tea leaf blight based on DDMA-YOLO

W Bao, Z Zhu, G Hu, X Zhou, D Zhang… - Computers and Electronics …, 2023 - Elsevier
Tea leaf blight (TLB) is a common disease that affects the yield and quality of tea. Timely
and accurate detection and monitoring of TLB can help support the precise control of the …

Identification of rice sheath blight through spectral responses using hyperspectral images

F Lin, S Guo, C Tan, X Zhou, D Zhang - Sensors, 2020 - mdpi.com
Sheath blight (ShB), caused by Rhizoctonia solani AG1-I, is one of the most important
diseases in rice worldwide. The symptoms of ShB primarily develop on leaf sheaths and leaf …

Chemical management of Fusarium wilt of watermelon

KL Everts, DS Egel, D Langston, XG Zhou - Crop Protection, 2014 - Elsevier
Watermelon yield loss due to Fusarium wilt is increasing in the US, due in part to the emergence
of the virulent race 2 of Fusarium oxysporum f. sp. niveum, and to the shift in production …

Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab

W Bao, W Liu, X Yang, G Hu, D Zhang, X Zhou - Precision Agriculture, 2023 - Springer
Scab is one of the most important diseases in wheat. Rapid and accurate detection of wheat
scab under farmland conditions is essential for timely and effectively managing the disease. …

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 related …

Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure

DY Zhang, W Zhang, T Cheng, XG Zhou, Z Yan… - … and Electronics in …, 2023 - Elsevier
Rapid detection and identification of Fusarium germinate spores play a vital role in the early
prediction and effective management of wheat scab disease. This study proposed an …

Assessment of the levels of damage caused by Fusarium head blight in wheat using an improved YoloV5 method

DY Zhang, HS Luo, DY Wang, XG Zhou, WF Li… - … and Electronics in …, 2022 - Elsevier
Object segmentation in deep learning has been recently used for the detection of Fusarium
head blight (FHB), a worldwide disease in wheat. Such method, however, cannot detect the …

Wheat lodging segmentation based on Lstm_PSPNet deep learning network

J Yu, T Cheng, N Cai, XG Zhou, Z Diao, T Wang, S Du… - Drones, 2023 - mdpi.com
Lodging is one of the major issues that seriously affects wheat quality and yield. To obtain
timely and accurate wheat lodging information and identify the potential factors leading to …

Warming increases Bacterial Panicle Blight (Burkholderia glumae) occurrences and impacts on USA rice production

AM Shew, A Durand-Morat, LL Nalley, XG Zhou… - PLoS …, 2019 - journals.plos.org
Bacterial Panicle Blight (BPB), caused by Burkholderia glumae, is a bacterial disease in rice
(Oryza sativa) that reduces rice yield and quality for producers and consequently creates …