KwooGr представляет собой первую масштабную ИИ-модель для мониторинга роста более 95 видов сельскохозяйственных культур. Система анализирует данные из научных журналов и симуляторов, помогая прогнозировать урожайность риса, кукурузы и сои в различных климатических зонах.
KwooGr is the first multi-type, pan-variety, and cross-regional agricultural crop growth model in China, covering 22 categories and 95 crops such as rice, corn, soybeans, and wheat, covering a variety of common planting areas in Northeast China. By referring to the analysis of agricultural data sources such as crop simulators, agronomy journals, and national planting specifications, growth data of 100 million growth cycles of various crops were collected , including: leaf area index, total yield, total leaf dry weight, total weight of stems and leaves, nitrogen, phosphorus, and potassium requirements, nitrogen, phosphorus, and potassium content in organs, and other 160-dimensional crop growth indicators.