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Coming Next in Smart Farming Agronomy —Digitizing the Microbiome

In this contributed article, Bob Gunzenhauser, Agronomy Science Manager for Granular, part of Corte, explores how AI-driven tools are digitizing the soil microbiome and will eventually become another layer of data to drive precision farming. Bob shares his insights as a fifth generation farmer in Iowa who has been involved in the development of Decision Agriculture over the last 25 years, from its early days of yield monitors to today’s predictive analytics and crop modeling.

Three-quarters of US AG Businesses Increase 2020 Investment in AI

According to the findings from the latest annual 2020 RELX Emerging Tech Study, carried out by Proagrica parent RELX through IPSOS Mori, three in four – 76% – of US agriculture businesses have upped their spend on AI technologies in light of the pandemic, according to new research. Agriculture was second only to the insurance industry, which reported a marginally higher investment level of 78%, and of the eight sectors canvassed, agriculture spent the most on AI training.

Leveraging Data, Blockchain and AI to Help Agriculture Meet Growing Global Demand

Given the scale of the world’s food supply, there aren’t many industries that lend themselves to the power of data science and analytics than agriculture. This is the thinking behind a new research paper from a group of data scientists who make a case for finding new ways to use blockchain, AI and API management to enable “smart agriculture.” The paper, “Agricultural Digital Transformation,” has been published in the OR/MS Today journal from the Institute for Operations Research and the Management Sciences (INFORMS).