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Jeffrey M. Hegstad, Hua Mo, Adam P. Gaspar and Dwain Rule
Soybean (Glycine max) is one of the most important oilseed crops grown in North America and a key contributor to the global protein supply. Insect feeding by a major soybean pest, the bean leaf beetle (BLB; Cerotoma trifurcata), can result in economic yi...
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Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea...
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Ruixin Ma, Donggui Li, Chen Peng, Shuangyan Wang, Yaping Chen, Furong Gui and Zhongxiang Sun
The remarkable biological and evolutionary adaptations of insects to plants are largely attributed to the powerful chemosensory systems of insects. The tomato leaf miner (Tuta absoluta) is a destructive invasive pest with a global distribution that poses...
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Charalampos S. Kouzinopoulos, Eleftheria Maria Pechlivani, Nikolaos Giakoumoglou, Alexios Papaioannou, Sotirios Pemas, Panagiotis Christakakis, Dimosthenis Ioannidis and Dimitrios Tzovaras
Citizen science reinforces the development of emergent tools for the surveillance, monitoring, and early detection of biological invasions, enhancing biosecurity resilience. The contribution of farmers and farm citizens is vital, as volunteers can streng...
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Abdul-Wadood Moomen, Lily Lisa Yevugah, Louvis Boakye, Jeff Dacosta Osei and Francis Muthoni
This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990?2023). During this period, there have been several government policy intervention...
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Shreyas M. Guruprasad and Benjamin Leiding
The digital transformation of apiculture initially encompasses Internet of Things (IoT) systems, incorporating sensor technologies to capture and transmit bee-centric data. Subsequently, data analysis assumes a vital role by establishing correlations bet...
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Bomi Kim, Garim Lee, Yaewon Lee, Sohyun Kim and Seong Jin Noh
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (<1 km) and flooding conditions at catchment scale. Simulation experiments were implemented for the Geumho River catchment ...
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Chang-Young Ha, Beom-Jin Kim, Jae-Nam Lee and Byung-Hyun Kim
In this study, the sensitivity of the parameters was analyzed using PEST (Parameter ESTimation) to improve the accuracy of the runoff and flooding analysis in urban areas. Using four parameters (watershed width, roughness coefficient of impervious and pe...
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Peng Qi, Lanting Zhang, Zhichong Wang, Hu Han, Joachim Müller, Tian Li, Changling Wang, Zhan Huang, Miao He, Yajia Liu and Xiongkui He
Background: Unmanned Aerial Vehicles (UAVs) are increasingly being used commercially for crop protection in East Asia as a new type of equipment for pesticide applications, which is receiving more and more attention worldwide. A new model of pear cultiva...
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Wenqing Xu, Weikai Li, Liwei Wang and Marcelo F. Pompelli
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