{"title":"Balancing machine learning and artificial intelligence in soil science with human perspective and experience","authors":"David C. WEINDORF , Somsubhra CHAKRABORTY","doi":"10.1016/j.pedsph.2023.09.010","DOIUrl":null,"url":null,"abstract":"<div><p>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 properties, especially qualitative properties that 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.</p></div>","PeriodicalId":49709,"journal":{"name":"Pedosphere","volume":"34 1","pages":"Pages 9-12"},"PeriodicalIF":5.2000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1002016023001091/pdfft?md5=a4dd0b1813e019784bce5df02b1048e5&pid=1-s2.0-S1002016023001091-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pedosphere","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1002016023001091","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
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 properties, especially qualitative properties that 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.
期刊介绍：
PEDOSPHERE—a peer-reviewed international journal published bimonthly in English—welcomes submissions from scientists around the world under a broad scope of topics relevant to timely, high quality original research findings, especially up-to-date achievements and advances in the entire field of soil science studies dealing with environmental science, ecology, agriculture, bioscience, geoscience, forestry, etc. It publishes mainly original research articles as well as some reviews, mini reviews, short communications and special issues.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
