NEW YORK, NY / ACCESSWIRE / September 10, 2020 / To quote a classic paper titled “Machine Learning that Matters” by NASA computer scientist Kiri Wagstaff: “Much of current machine learning (ML) research has lost its connection to problems of import to the larger world of science and society.” […]

According to UN Food and Agriculture Organization (FAO), the worldwide population will increase to 10 billion by 2050. However, only 4% additional land will come under cultivation by then, let along uncertain threats from climate change and increasing sea level. Traditional methods are not enough to handle those tough problems. AI is steadily emerging as one of the innovative approaches to agriculture. AI-powered solutions should not only enable farmers to produce more with less resources, but also improve food quality and security for consumer market.

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