Machine-Cast: A scalable machine learning framework for forecasting risk of crop pests and pathogens

在这个项目中，我们正在建立一个新的病虫害预测服务，它使用机器学习‘集成’技术来灌输高度本地化的预测能力和广泛的病虫害-作物-地理应用潜力。这种广谱的预测方法是高度创新的，有可能推动英国所有最重要的作物在投入使用方面的协同改进。这一创新将推动农业化学使用量的减少，提高作物产量，并减少英国农业的碳足迹。

In this project we are building a novel pest/disease forecasting service that uses machine learning 'ensemble' techniques to imbue highly localised predictive power and wide pest-crop-geography application potential. This broad-spectrum approach to forecasting is highly innovative and has the potential to drive synergistic improvements in the usage of inputs across all of the UK's most important crops. This innovation will drive a reduction in agro-chem usage, increase in crop yields and reduce the carbon footprint of UK agriculture.