01768cam a22003138i 45000010009000000050017000090080041000260100017000670200030000840200027001140400026001410420008001670500020001750820024001951000035002192450067002542630009003212640063003303000038003933360026004313370028004573380027004855040051005125200609005636500057011726500033012296500038012627760154013002102571120251027205636.0190619s2020    nyu      b    001 0 eng    a  2019025856  a9780367254308q(hardback)  z9780429289460q(ebook)  aDLCbengerdacNMSCST  apcc00aS675b.Z49 202000a631.5233bZ637 20201 aZhongzhi, Han,d1981-eauthor.10aComputer vision-based agriculture engineering /cHan Zhongzhi.  a1910 1aNew York, NY :bCRC Press, Taylor & Francis Group,cc2020.  axvii, 329 pages :billustrations   atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  a"Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in the book of all 25 chapters. This unique work provides student, engineers and technologists working in research, development, and operations in the agricultural engineering with critical, comprehensive and readily accessible information. The book applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing"--cProvided by publisher. 0aAgricultural engineeringxTechnological innovations. 0aAgriculturexRemote sensing. 0aQuality controlxOptical methods.08iOnline version:aZhongzhi, Han,tComputer vision-based agriculture engineeringdBoca Raton : Taylor & Francis, 2019.z9780429289460w(DLC) 2019025857