Colombian avocado feasibility study

对一些农民来说，农药占其成本的三分之一，而通过地毯式喷洒的方式过度使用农药会对生物多样性产生重大影响。在杀虫剂治疗病虫害的同时，它们也杀死了有益的虫子（一种重要的营养来源），这就需要氮肥来提高作物产量。人工农药的使用每年都在增加，这种农药和化肥的组合有可能污染地下水资源。Agribot正在开发精确农业技术，以减少农药的使用。Agribot利用人工智能从卫星数据中检测作物压力（不足/过量、不足/过量、螨虫、疾病），并以99.98%的准确率诊断疾病。这创造了一个宝贵的早期检测系统，使使用较少的侵略性（通常是有机的）治疗，只有在早期施用才有效。作为可行性研究的一部分，将开展研究，探索在Agribot模型中添加额外作物的过程，特别是鳄梨、咖啡和可可，以便国际层面的农民能够从准确和可获取的精准农业技术中受益。

For some farmers, pesticides represent one-third of their costs, and pesticide overuse through blanket spraying of fields has significant biodiversity implications. While pesticides treat diseases and pests, they also kill helpful bugs (an essential source of nutrients), requiring nitrogen-based fertiliser to boost crop yields. Artificial pesticide use is increasing every year, and this pesticide-fertiliser combination has the potential to contaminate groundwater sources.Agribot is developing precision farming technologies to reduce pesticide use. Agribot uses AI to detect crop stress (under/over-fed, under/over-watered, mites, disease) from satellite data, and diagnose disease with 99.98% accuracy. This creates an invaluable early detection system, enabling the use of less aggressive (often organic) treatments that only work if administered early.As part of this feasibility study, research will be carried out to explore the process of adding additional crops to the Agribot models specifically avocados, coffee and cacao so that farmers on an international level can benefit from accurate and accessible precision farming technology.