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Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data
We are pleased to announce the publication of a scientific article titled "Machine Learning (AutoML)-Driven Wheat Yield Prediction for European Varieties: Enhanced Accuracy Using Multispectral UAV Data" in the journal Agriculture (MDPI), Volume 15, Issue 14, July 2025. The publication highlights research conducted within the TALLHEDA project , focusing on applying machine learning and UAV-based remote sensing to achieve highly accurate wheat yield predictions for European v
Jul 17, 2025
Impact of Altitude, Nozzle Type and Remote Sensing on Pesticide Deposition Quality and Efficiency in Wheat Crop Protection
The University of Novi Sad has recently published a research paper titled: “Impact of Altitude, Nozzle Type and Remote Sensing on Pesticide Deposition Quality and Efficiency in Wheat Crop Protection.” This study investigates the effects of spraying altitude, nozzle selection, and remote sensing technologies on the quality and efficiency of pesticide application in wheat cultivation. The research provides insights into optimizing crop protection practices , aiming to increa
Apr 7, 2025
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