Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging
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 …
(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 …
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 …
diseases in rice worldwide. The symptoms of ShB primarily develop on leaf sheaths and leaf …
Chemical management of Fusarium wilt of watermelon
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 …
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. …
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
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 …
through digit imaging. To improve detection accuracy and overcome challenges related …
Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure
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 …
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 …
head blight (FHB), a worldwide disease in wheat. Such method, however, cannot detect the …
Wheat lodging segmentation based on Lstm_PSPNet deep learning network
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 …
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
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 …
(Oryza sativa) that reduces rice yield and quality for producers and consequently creates …