Crop Performance leverages remote sensing to forecast yield, quantify supply risk, optimize genetic potential and monitor variety performance of crops globally. Crop Performance analytics inform supply decisions based upon our ability to predict crop yields in advance of harvest. The data is used to inform in-season yield, water, nutrient, pest & disease status of crops. Our Crop Intelligence Platform provides predictive analytics for growers to anticipate and act on real time information to optimise productivity of their crops while managing cost and risk to improve profitability. The platform uses satellite, airborne, UAV remote sensing, soil, weather, historical and in-season data, IoT, AI and ML to produce higher yields of quality crops. Growers can estimate the timing of harvest, predict in-season yields, detect and control pests and disease, know water and nutrient status, plan crop nutrition programs, inform in-season irrigation and fungicide management practices. Food companies use Crop Performance data to to source commodities, assess resource scarcity and monitor the impacts of climate change on food production. 1. Inform supply, harvesting and logistics for major food companies and supermarkets. 2. Provide real time decision support of supply, cost and risk of the crop production process. 3. Monitor environmental outcomes; including ghg emissions, water quality and soil health. 4. Enable transparency as to how food is grown, its provenance, inform food safety compliance. 5. Create the foundation for the nutritional enrichment of food. Crop Performance sequences DNA of plant pathogens in the field to quantify disease risk. CPL are developing a food security index that characterizes fluctuations in supply, demand, and resource scarcity given climate change. Analytics include an early warning network to predict drought, floods, pests and disease and prevent crop failure.