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Balancing machine learning and artificial intelligence in soil science with human perspective and experience

作  者:
David C. Weindorf;Somsubhra Chakrabort
单  位:
Department of Earth and Atmospheric Science, Central Michigan University, Mt. Pleasant, MI (USA);Agricultural and Food Engineering Department, Indian Institute of Technology – Kharagpur (India
关键词:
artificial intelligence;human;soil science;play;role;invaluabl
摘  要:
Machine learning and artificial intelligence continue to evolve at a rapid pace, with many potential applications related to soil science. Even so, human experience and perception play an invaluable role in characterizing soil, especially qualitative properties which may elude sensing/computer-based modeling approaches. The elegant solution to this conundrum relies on the synthesis of computer-aided predictive modeling with human insight and knowledge.

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