47 citations · 106 across the 8 of their papers we have counts for
8 papers
fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model
Yufeng Xie, Hanzhi Wu, Hongxiang Tong +4
Delineating farmland boundaries is essential for agricultural management such as crop monitoring and agricultural census. Traditional methods using remote sensing imagery have been…
Identifying Cocoa Pollinators: A Deep Learning Dataset
Wenxiu Xu, Saba Ghorbani Bazegar, Dong Sheng +3
Cocoa is a multi-billion-dollar industry but research on improving yields through pollination remains limited. New embedded hardware and AI-based data analysis is advancing informa…
Co-benefits of Agricultural Diversification and Technology for Food and Nutrition Security in China
Thomas Cherico Wanger, Estelle Raveloaritiana, Siyan Zeng +12
China is the leading crop producer and has successfully implemented sustainable development programs related to agriculture. Sustainable agriculture has been promoted to achieve na…
A Power Management and Control System for Portable Ecosystem Monitoring Devices
Marcel Balle, Wenxiu Xu, Kevin FA Darras +1
Recent advances in Internet of Things (IoT) and Artificial Intelligence (AI) technologies help ecosystem monitoring to shift towards automated monitoring with low power sensors and…
Nano/micro-plastics effects in agricultural landscapes: an overlooked threat to pollination, biological pest control, and food security
Dong Sheng, Siyuan Jing, Xueqing He +3
Biodiversity-associated ecosystem services such as pollination and biocontrol may be severely affected by emerging nano/micro-plastics (NMP) pollution. We synthesized the little-ex…
Converging trend of global urban land expansion sheds new light on sustainable development
Shengjie Hu, Zhenlei Yang, Sergio Andres Galindo Torres +5
Urban land growth presents a major sustainability challenge, yet its growth patterns and dynamics remain unclear. We quantified urban land evolution by analyzing its statistical di…
Cocoa pollination, biodiversity-friendly production, and the global market
Thomas Cherico Wanger, Francis Dennig, Manuel Toledo-Hernández +2
Production of cocoa, the third largest trade commodity globally has experienced climate related yield stagnation since 2016, forcing farmers to expand production in forested habita…
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient
Thomas Cherico Wanger, Peter Frohn
Convolutional Neural Networks (CNN) for image recognition tasks are seeing rapid advances in the available architectures and how networks are trained based on large computational i…