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Artificial intelligence and farmer knowledge boost smallholder maize yields

人工智能和农民知识提高了小农玉米单产

关键词:
来源:
International Center for Tropical Agriculture (CIAT)
全文链接1:
http://agri.ckcest.cn/topic/downloadFile/95e376e4-a925-423e-9975-99ccc6ca8d08
全文链接2:
https://www.sciencedaily.com/releases/2019/10/191015164654.htm
类型:
前沿资讯
语种:
英语
原文发布日期:
2019-10-15
摘要:
Farmers in Colombia's maize-growing region of Córdoba had seen it all: too much rain one year, a searing drought the next. Yields were down and their livelihoods hung in the balance. To better deal with climate stress, farmers in Colombia's maize-growing region of Córdoba needed information services that would help them decide what varieties to plant, when they should sow and how they should manage their crops. They needed information services that would help them decide what varieties to plant, when they should sow and how they should manage their crops. A consortium formed with the government, Colombia's National Cereals and Legumes Federation (FENALCE), and big-data scientists at the International Center for Tropical Agriculture (CIAT). The researchers used big-data tools, based on the data farmers helped collect, and yields increased substantially. The study, published in September in Global Food Security, shows how machine learning of data from multiple sources can help make farming more efficient and productive even as the climate changes.
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