Remote Sensing Applications for Agriculture and Crop Modelling

• Autor principal: Toscano, Piero (auth)
• Formato: Recurso Electrónico Capítulo de Livro
• Idioma: inglês
• Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Assuntos: Geography; nitrogen nutrition index; n/a; soil organic carbon; yield estimation; hyperspectral sensor; crop modeling; crop residue management; land use change; flat-fan atomizer; vegetation index; septoria tritici blotch; crop simulation model; temporal variability; spectral-weight variations in fused images; plant; EPIC model; large cardamom; crop inventory; proximal sensing; sorghum biomass; soil; UAV; Integrated Administration and Control System; canopy temperature depression; fractional cover; Cropsim-CERES Wheat; hyperspectral data; yield; wheat; precision farming; SPAD; AquaCrop; prediction modeling; spectral simulation; leaf nitrogen concentration; machine learning; crop production; protein content; Á Trous algorithm; spatial variability; variable rate technology; crop type mapping; Tarim Basin; leaf area index; management zone; irrigation; multi-spectral; agricultural land-cover; crop modelling; dynamic model; satellite images; climate change; control variables; generalized model; Sentinel-2 satellite imagery; vegetation indices; vegetable monitoring; Sentinel-2; remote sensing; cultivars; crop growth model; yield monitoring; big data technology; conservation agriculture; GIS; fAPAR; droplet drift; simulation analysis; durum wheat; hydroponic; grain yield; Leaf Area Index; NDVI; precision agriculture; relative frequencies; soil stoichiometry; habitat assessment; data assimilation; satellite; species modelling; ?13C; disease; nitrogen; yield mapping; UAV chemical application; RGB images; decision support system for agrotechnology transfer (DSSAT)
• Acesso em linha: DOAB: download the publication; DOAB: description of the publication

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable meth...