COMPARING MACHINE LEARNING ALGORITHMS FOR ESTIMATING THE MAIZE CROP WATER STRESS INDEX (CWSI) USING UAV-ACQUIRED REMOTELY SENSED DATA IN SMALLHOLDER CROPLANDS

Comparing Machine Learning Algorithms for Estimating the Maize Crop Water Stress Index (CWSI) Using UAV-Acquired Remotely Sensed Data in Smallholder Croplands

Monitoring and mapping crop water stress and variability at a farm scale for cereals such as maize, one of the most common crops in developing countries with 200 million people around the world, is an important objective within precision agriculture.In this regard, unmanned aerial vehicle-obtained multispectral and thermal imagery has been adopted

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Utilising affordable smartphones and open-source time-lapse photography for pollinator image collection and annotation

Monitoring plant-pollinator interactions is crucial for understanding the factors influencing these relationships across space and time.Traditional 5 Piece Counter Height Dining Set methods in pollination ecology are resource-intensive, while time-lapse photography offers potential for non-destructive and automated complementary techniques.However,

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