DEVELOPMENT OF MACHINE LEARNING MODELS TO PREDICT COMPRESSED SWARD HEIGHT IN WALLOON PASTURES BASED ON SENTINEL-1, SENTINEL-2 AND METEOROLOGICAL DATA USING MULTIPLE DATA TRANSFORMATIONS

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers.In this paper, machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological, optical (Sentinel-2) and radar sate

The advancement of intelligent road transport represents a promising direction in the evolution of transportation systems, aimed at improving road safety and reducing traffic accidents.The integration of artificial intelligence, sensors, and machine vision systems enables autonomous vehicles (AVs) to rapidly adapt to changes in the road environment

Organophosphate (OP) poisoning is known to cause delayed neurological manifestations.Chlorpyrifos, an OP, causes a delayed syndrome that is characterized by motor sensory polyneuropathy.Pure motor neuropathy with intact sensory conduction is rarely documented.Rapidly evolving delayed myelopathy is extremely uncommon.A healthy 46-year-old male, know

Agricultural production relies heavily on the use of pesticides, which may accumulate in soil and water, posing a significant threat to the global ecological environment and biological health.Butachlor is a commonly used herbicide and environmental pollutant, which has been linked to liver and kidney damage, as well as neurological abnormalities.Ho