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Biotechnology and IoT in agriculture...
~
Das, Priyanka.
Biotechnology and IoT in agriculture and food productiongreen innovation /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Biotechnology and IoT in agriculture and food productionby Dr. Alok Kumar Srivastav, Dr. Priyanka Das.
Reminder of title:
green innovation /
Author:
Srivastav, Alok Kumar.
other author:
Das, Priyanka.
Published:
Berkeley, CA :Apress :2025.
Description:
xxii, 291 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Agricultural biotechnology.
Online resource:
https://doi.org/10.1007/979-8-8688-1469-3
ISBN:
9798868814693$q(electronic bk.)
Biotechnology and IoT in agriculture and food productiongreen innovation /
Srivastav, Alok Kumar.
Biotechnology and IoT in agriculture and food production
green innovation /[electronic resource] :by Dr. Alok Kumar Srivastav, Dr. Priyanka Das. - Berkeley, CA :Apress :2025. - xxii, 291 p. :ill., digital ;24 cm.
Chapter 1: Introduction to Green Innovation in Agriculture -- Chapter 2: The Evolution of Agriculture: From Traditional to Smart Farming -- Chapter 3: Understanding IoT in Agriculture -- Chapter 4: Biotechnology in Agriculture: A Primer -- Chapter 5: Synergies Between IoT and Biotechnology -- Chapter 6: Precision Farming: Merging Data and Biology -- Chapter 7: IoT-Enabled Greenhouses and Vertical Farming -- Chapter 8: Water Management and Irrigation Innovations -- Chapter 9: Pest Control and Disease Management: Smart Solutions -- Chapter 10: Sustainable Soil Health and Fertility -- Chapter 11: Climate-Smart Agriculture: Tackling Environmental Challenges -- Chapter 12: Reducing Food Waste Through IoT and Biotechnology -- Chapter 13: The Role of Artificial Intelligence in Agricultural Innovation -- Chapter 14: Blockchain and IoT for Transparency in the Food Supply Chain -- Chapter 15: Biotechnology and IoT for Sustainable Livestock Management -- Chapter 16: Ethical Considerations and Regulatory Challenges -- Chapter 17: Green Finance and Investment in IoT-Biotechnology Synergies -- Chapter 18: Challenges and Barriers to Adoption -- Chapter 19: IoT, Biotechnology, and the Future of Agriculture -- Chapter 20: Building a Sustainable Agricultural Future -- Chapter 21: Edge Computing and AI in Agricultural IoT -- Chapter 22: Agricultural Robotics and Autonomous Systems -- Chapter 23: Data Analytics and Machine Learning for Crop Management -- Chapter 24: Digital Twins in Agriculture -- Chapter 25: Future of Smart Agriculture: Integration and Innovation.
ISBN: 9798868814693$q(electronic bk.)
Standard No.: 10.1007/979-8-8688-1469-3doiSubjects--Topical Terms:
192838
Agricultural biotechnology.
LC Class. No.: S494.5.B563
Dewey Class. No.: 338.16
Biotechnology and IoT in agriculture and food productiongreen innovation /
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Chapter 1: Introduction to Green Innovation in Agriculture -- Chapter 2: The Evolution of Agriculture: From Traditional to Smart Farming -- Chapter 3: Understanding IoT in Agriculture -- Chapter 4: Biotechnology in Agriculture: A Primer -- Chapter 5: Synergies Between IoT and Biotechnology -- Chapter 6: Precision Farming: Merging Data and Biology -- Chapter 7: IoT-Enabled Greenhouses and Vertical Farming -- Chapter 8: Water Management and Irrigation Innovations -- Chapter 9: Pest Control and Disease Management: Smart Solutions -- Chapter 10: Sustainable Soil Health and Fertility -- Chapter 11: Climate-Smart Agriculture: Tackling Environmental Challenges -- Chapter 12: Reducing Food Waste Through IoT and Biotechnology -- Chapter 13: The Role of Artificial Intelligence in Agricultural Innovation -- Chapter 14: Blockchain and IoT for Transparency in the Food Supply Chain -- Chapter 15: Biotechnology and IoT for Sustainable Livestock Management -- Chapter 16: Ethical Considerations and Regulatory Challenges -- Chapter 17: Green Finance and Investment in IoT-Biotechnology Synergies -- Chapter 18: Challenges and Barriers to Adoption -- Chapter 19: IoT, Biotechnology, and the Future of Agriculture -- Chapter 20: Building a Sustainable Agricultural Future -- Chapter 21: Edge Computing and AI in Agricultural IoT -- Chapter 22: Agricultural Robotics and Autonomous Systems -- Chapter 23: Data Analytics and Machine Learning for Crop Management -- Chapter 24: Digital Twins in Agriculture -- Chapter 25: Future of Smart Agriculture: Integration and Innovation.
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Professional and Applied Computing (SpringerNature-12059)
based on 0 review(s)
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EB S494.5.B563 S774 2025 2025
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https://doi.org/10.1007/979-8-8688-1469-3
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