Modeling sunflower yield and soil water–salt dynamics with combined fertilizers and irrigation in saline soils using APSIM and deep learning - Miao, Qingfeng; Yu, Dandan; Shi, Haibin; Feng, Zhuangzhuang; Feng, Weiying; Li, Zhen; Gonçalves, José Manuel; Duarte, Isabel Maria; Li, Yuxin (Environmental sciences Europe, 2025)
Keywords: Accumulation; Agricultural land; Agricultural production; Agrochemicals; Agronomic crops; Algorithm; Algorithms; Animal manures; Artificial neural networks; Carbon; Computer simulation; Crop growth; Crop model; Crop yield; Deep learning; Design of experiments; Earth and Environmental Science; Ecotoxicology; Environment; Environmental protection; Fertilizer application; Fertilizers; Field tests; Growth models; Helianthus; Irrigation; Irrigation water; Leaf area; Leaf area index; Learning algorithms; Machine learning; Manures; Mineral fertilizers; Moisture content; Neural networks; Nitrates; Nitrogen; Optimization; Organic fertilizer; Organic fertilizers; Organic nitrogen; Osmotic stress; Phosphorus; Photosynthesis; Physiology; Plant stress; Pollution; Productivity; Ratios; Regression analysis; Resource utilization; Saline soils; Salinity; Salinity effects; Salt; Salts; Soil dynamics; Soil moisture; Soil salinity; Soil water; Substitutes; Sunflowers; Supplemental irrigation; Support vector machines; Water; Water shortages; China; Crop growth; Organic fertilizer; Crop model; Algorithm