IoT and AI in agriculture = self- su...
Ahamed, Tofael.

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  • IoT and AI in agriculture = self- sufficiency in food production to achieve society 5.0 and SDG's globally /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: IoT and AI in agriculture/ edited by Tofael Ahamed.
    其他題名: self- sufficiency in food production to achieve society 5.0 and SDG's globally /
    其他作者: Ahamed, Tofael.
    出版者: Singapore :Springer Nature Singapore : : 2023.,
    面頁冊數: xvii, 461 p. :ill., digital ;24 cm.
    內容註: Chapter 1. IoT x AI: Introducing Agricultural Innovation for Global Food Production -- Chapter 2. Transforming Controlled Environment Plant Production toward Circular Bioeconomy Systems -- Chapter 3. Artificial Lighting Systems for Plant Growth and Development in Indoor Farming -- Chapter 4. An IoT-based Precision Irrigation System to Optimize Plant Water Requirements for Indoor and Outdoor Farming Systems -- Chapter 5. Artificial Intelligence & Internet of Things: Application in Urban Water Management -- Chapter 6.Purification of Agricultural Polluted Water Using Solar Distillation and Hot Water Producing with Continuous Monitoring Based on IoT -- Chapter 7. Long Range Wide Area Network (LoRaWAN) for Oil Palm Soil Monitoring -- Chapter 8. Application of Smart Machine Vision in Agriculture, Forestry, Fishery, and Animal Husbandry -- Chapter 9. Artificial Intelligence in Agriculture: Commitment to Establish Society 5.0 -- Chapter 10. Potentials of Deep Learning Frameworks for Tree Trunk Detection in Orchard to Enable Autonomous Navigation System -- Chapter 11. Real Time Pear Fruit Detection and Counting Using YOLOv4 Models and Deep SORT -- Chapter 12. Pear Recognition in an Orchard from 3D Stereo Camera Datasets to Develop an Autonomous Mechanism Compared with Deep Learning Algorithms -- Chapter 13. Thermal Imaging and Deep Learning Object Detection Algorithms for Early Embryo Detection - A Methodology Development Addressed to Quail Precision Hatching -- Chapter 14. Intelligent Sensing and Robotic Picking of Kiwifruit in Orchard -- Chapter 15. Low-cost Automatic Machinery Development to Increase Timeliness and Efficiency of Operation for Small Scale Farmers to Achieve SDGs -- Chapter 16. Vision-based Leader Vehicle Trajectory Tracking for Multiple Agricultural Vehicles -- Chapter 17. Autonomous Robots in Orchard Management: Present status and future trends -- Chapter 18. Comparing Soil Moisture Retrieval from Water Cloud Model and Neural Network Using PALSAR-2 for Oil Palm Estates -- Chapter 19. Development of a Recognition System for Spraying Areas from Unmanned Aerial Vehicles Using a Machine Learning Approach -- Chapter 20. Basal Stem Rot Disease Classification by Machine Learning Using Thermal Images and an Imbalanced Data Approach -- Chapter 21. Early Detection of Plant Disease Infection using Hyperspectral Data and Machine Learning -- Chapter 22. The Spectrum of Autonomous Machinery Development to Increase Agricultural Productivity for Achieving Society 5.0 in Japan.
    Contained By: Springer Nature eBook
    標題: Agricultural innovations. -
    電子資源: https://doi.org/10.1007/978-981-19-8113-5
    ISBN: 9789811981135
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W9452975 電子資源 11.線上閱覽_V 電子書 EB S494.5.I5 I68 2023 一般使用(Normal) 在架 0
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