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

Abstract Background A number of working time arrangements have been linked to negative consequences for both health personnel and their patients.A common hypothesis put forth to explain these findings suggests that certain working time arrangements lead to negative patient consequences due to the adverse impact they have on employee health.The purp

Extensive macular atrophy with pseudodrusen (EMAP) is a relatively newly proposed clinical entity that was first reported in 2009.Although no definitive diagnostic criteria have been defined, characteristic findings can distinguish it from other diseases, especially dry age-related macular dystrophy (AMD).Herein, we present the case of a patient wi

Isolated lateral compartment arthritis or focal chondral defects in the setting of genu valgum in young, active individuals can be treated with a varus-producing distal femoral osteotomy with or without yogi xiyoshi cartilage treatment.Both medial closing-wedge and lateral opening-wedge techniques have been described, with neither demonstrating cle