Crop models are crucial in assessing the reliability and sustainability of soil water conservation practices. The AquaCrop model was tested validated for maize productivity under selected climate smart agriculture (CSA) practices rainfed production systems. using final biomass (B) grain yield (GY) data from field experiments involving seven CSA (halfmoon pits, 2 cm thick mulch, 4 6 20 deep perm...

Abstract This study aims to compare the relationship between climate variables and rice productivity under different irrigation systems (irrigated rainfed) in clustering area on Java Island, Indonesia. used areas resulting from previous study. The are bias-corrected MERRA2 data period 1987–2017, cropped for Island. reference evapotranspiration this results of simulation Aquacrop modeling. resul...

Abstract Traditional High Andean agriculture is rainfed, and irrigation commonly carried out in an open loop, that is, without measuring variables such as soil moisture content or plant development to define water consumption. This article presents model predictive control applied systems under real conditions, whose purpose the efficient use of rainfed crops with improved yield crop productivi...

Currently, the AquaCrop model has been widely tested for many fruit/grain crops; root and tuber leafy vegetables, or forage crops, but is restricted to annual herbaceous species, while deciduous crops have received less if no attention. In this context, study aims test first time ability of simulate canopy cover (CC), actual evapotranspiration (ETa), total soil water content (TWC), biomass (B) ...