Per WSJ, a decade after data analytics promised to revolutionize agriculture, most farmers still aren’t using data tools or specialized software, and of those who do, many are swamped by a deluge of data.
Based on a McKinsey survey, less than half of farmers are using farm management software and 25% are using remote-sensing and precision agriculture hardware. Only 3% of American farmers said they plan to adopt software or precision agriculture hardware over the next two years.
There are many different players in the agriculture industry that now have a wide range of digital capabilities, equipment providers, drone applications, different dealers and suppliers. Capturing data, and sharing it across multiple platforms, can be difficult and daunting.
Bayer acquire Monsanto in 2018, including Climate Corporation’s FieldView farm software. In June, they announced an update to their partnership with Microsoft that links data sources within Microsoft’s Azure cloud platform. This is one of the first major tie-ups between an agri-business and a cloud provider to tackle agriculture’s data integration problems.
Amazon and Google are also looking to gain a foothold in the sector. In March, Amazon Web Services (AWS) joined with Agtech startup Leaf, which provides connectors between data sources in different formats. AWS also works with John Deere, providing cloud services for the machinery manufacturer’s data services. In 2022, Google Cloud joined with climate-tech startup Agrology to help predict farm microclimates and process data. In January, its parent Alphabet spun off a company called Mineral to aggregate agricultural data and apply AI to it. AI could become a key technology to tackle numerous agriculture industry challenges.
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Read More: https://www.wsj.com/articles/americas-farmers-are-bogged-down-by-data-524f0a4d