AI Technology to Help Agriculture, the Future Can Be Expected — Part 3

AI, machine learning (ML), and IoT sensors can provide algorithms with rich real-time data to improve agricultural productivity and crop yields, and reduce food production costs. According to UN projections on population and starvation, the global population will increase by a further 2 billion by 2050, and agricultural productivity will need to grow by 60% to provide adequate food. According to data released by the U.S. Department of Agriculture’s Bureau of Economic Research, in the United States alone, the total market for growing, processing, and food distribution businesses is as high as $1.7 trillion. By 2050, artificial intelligence and machine learning are likely to be at the heart of new technologies. It will help us cope with the expected food needs of an additional 2 billion people.

Comments

Discover the Best of Machine Learning.

Ever having issues keeping up with everything that's going on in Machine Learning? That's where we help. We're sending out a weekly digest, highlighting the Best of Machine Learning.

Join over 900 Machine Learning Engineers receiving our weekly digest.

Best of Machine LearningBest of Machine Learning

Discover the best guides, books, papers and news in Machine Learning, once per week.

Twitter