LEADER 02669cam a2200217 a 4500
001 1124205
008 220726s2022 enka e 000 0 eng d
020 $a9781032158105$q(hbk.) :$cGBP69.99
020 $a1032158107$q(hbk.) :$cGBP69.99
035 $aNO000221949
037 $b公共圖書館臺南分區資源中心
040 $aYDX$beng$eaacr2$cYDX$dUKMGB$dOCLCO$dOCLCF$dBDX$dICU$dOCLCO$dTWTNM
050 4$aS494.5.D3$bS56 2022
082 04$a338.16028563$223
090 $a臺南市立圖書館
245 00$aArtificial intelligence in agriculture /$cRajesh Singh ... [et al.]
260 $aAbingdon, Oxon :$bCRC Press ;$a[India] :$cc2022.$bNew India Publishing Agency,
300 $avii, 176 p. :$bill. ;$c24 cm.
505 0 $a1. Artificial intelligence -- 2. Learning Python for artificial intelligence -- 3. Machine learning -- 4. Deep learning -- 5. Computer vision -- 6. Knowledge based expert system -- 7. Tools for artificial intelligence -- 8. Important libraries for AI -- 9. Machine learning algorithms -- 10. Disease classification and detection in plants -- 11. Species recognition in flowers -- 12. Precision farming.
520 $a"This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc."--Publisher.
650 0$aAgricultural innovations.
650 0$aArtificial intelligence$xAgricultural applications.
650 0$aInternet of things.
653 $a知識性
653 $a地方創生
700 1 $aSingh, Rajesh$c(Electrical engineer).