How AI can transform traditional farming

Added on 15 November 2021

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How AI can transform traditional farming

A precision agriculture startup has tag-teamed with expert growers to help strawberry farmers in China to increase their productivity. Zhiduomei, which employs edge computing, advanced sensors and computer algorithms to optimize planting conditions, teamed up with Yanjiutian, an all-women strawberry cultivation company, to provide their combined expertise to other strawberry growers. The two teams met at the inaugural Smart Agriculture Competition co-organized by Pinduoduo last year, where they competed to see who can grow more strawberries. The technology teams produced 196% more fruit on average versus the traditional teams.

"There are still areas where AI cannot supplant humans, such as human observation of mild disease or infestation," said Cheng Biao, leader of the Zhiduomei team. "On the other hand, traditional growers may not be as experienced in collecting and analyzing data, so in this project we're combining our strengths."

The two companies are offering technical advice to strawberry farms in Feixi county in Anhui. Yanjiutian is providing seedlings and management of the greenhouses, while Zhiduomei is deploying a one-click planting service developed and refined during last year's Smart Agriculture Competition.

"Precision agriculture is very beneficial if it can be applied to improve traditional farming methods," said Sun Yuqing, a member of the Yanjiutian team, one of the top strawberry growers in the province of Anhui.

The Smart Agriculture Competition has helped small and medium-sized enterprises like Zhiduomei shorten the time to develop and commercialize their technology offerings, said Cheng. Through the contest, the company was able to refine its product and develop lower-cost technology that is suited to the financial conditions of smallholder farmers, said Cheng.

This year, the Smart Agriculture Competition is focusing on tomatoes. Four teams with cross-disciplinary expertise in agronomy and computer algorithms were selected for the final round now taking place at Pinduoduo's smart greenhouse base in Yunnan.

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