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A high-resolution, integrated system for rice yield forecasting at district level

2019

Abstract To meet the growing demands from public and private stakeholders for early yield estimates, a high-resolution (2 km × 2 km) rice yield forecasting system based on the integration of the WARM model and remote sensing (RS) technologies was developed. RS was used to identify rice-cropped area and to derive spatially distributed sowing dates, and for the dynamic assimilation of RS-derived leaf area index (LAI) data within the crop model. The system—tested for the main European rice production districts in Italy, Greece, and Spain—performed satisfactorily; >66% of the inter-annual yield variability was explained in six out of eight combinations of ecotype × district, with a maximum of 8…

010504 meteorology & atmospheric sciencesYield (finance)Agricultural engineering01 natural sciencesCropremote sensingWARM modelOryza sativa L.CultivarLeaf area indexBlast disease0105 earth and related environmental sciences2. Zero hungerassimilationSowing04 agricultural and veterinary sciencesRemote sensingblast diseaseBlast diseaseAssimilation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceAnimal Science and ZoologyAgronomy and Crop ScienceDistrict level
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