ABSTRACT Background and Objectives Mosquitoes of the genus Aedes, including but not limited to Aedes aegypti, are major vectors of arboviruses such as dengue, Zika and other related diseases. Their global expansion is driven by climate change, globalisation, urbanisation and human mobility.
Ana Izabel Passarella Teixeira +8 more
wiley +1 more source
Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries. [PDF]
Hua M +6 more
europepmc +1 more source
Abstract Blood transfusion is life‐saving for patients in emergencies, but low‐ and middle‐income countries (LMICs) often face a severe shortage of banked blood. Establishing blood banks in rural areas presents substantial logistical and economic challenges for many LMICs.
Suvro Sankha Datta +4 more
wiley +1 more source
Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight. [PDF]
Lu X, Xie J, Yan J, Zhou J, Cen H.
europepmc +1 more source
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre +13 more
wiley +1 more source
A smart nail platform for wireless subsoil health monitoring via unmanned aerial vehicle-assisted radio frequency interrogation. [PDF]
Ramesh Y +7 more
europepmc +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery. [PDF]
Chen W, Wang D, Xie X.
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
Estimation and spatial distribution of soil organic carbon content in farmland using unmanned aerial vehicle hyperspectral remote sensing technology. [PDF]
Song Q, Zhang W.
europepmc +1 more source

