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Agriculture and aquaculture applications of biosensors and bioelectronics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Agriculture and aquaculture applications of biosensors and bioelectronics/ Alex Khang, editor.
other author:	Khang, Alex.
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (xxii, 576 p.) :ill., maps. :
Subject:	Agricultural biotechnology. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2069-3
ISBN:	9798369320709

Agriculture and aquaculture applications of biosensors and bioelectronics
Agriculture and aquaculture applications of biosensors and bioelectronics[electronic resource] /Alex Khang, editor. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (xxii, 576 p.) :ill., maps.

Includes bibliographical references and index.

Chapter 1. Biosensor applications and principles of agricultural and aquacultural sectors -- Chapter 2. Application of sensors for smart farming -- Chapter 3. Application of artificial intelligence (AI) in the agriculture sector -- Chapter 4. Enabling smart farming through edge artificial intelligence (AI) -- Chapter 5. Precision agriculture and unmanned aerial vehicles (UAVs) -- Chapter 6. Applications of sensors in precision agriculture for a sustainable future -- Chapter 7. Biosensors for environmental monitoring in the smart agriculture sector -- Chapter 8. Artificial intelligence (AI)-integrated biosensors and bioelectronics for agriculture -- Chapter 9. Integration of machine learning augmented with biosensors for enhanced water quality monitoring -- Chapter 10. Internet of things (IoT)-integrated technologies in the agriculture sector -- Chapter 11. Optical sensing for precision agriculture -- Chapter 12. Enhancing smart agriculture applications utilizing deep learning models and computer vision techniques -- Chapter 13. The emerging advancement of robotics in the modern agriculture field -- Chapter 14. Automated plant disease detection: a convergence of agriculture and technology -- Chapter 15. Automated plant disease detection systems for the smart farming sector -- Chapter 16. Dynamic energy model for internet of things (IoT)-integrated energy consuming sensors -- Chapter 17. Pathogen detection in dragonfruit with transfer learning and fine-tuned keras models -- Chapter 18. Potential growth of artificial intelligence (AI) and internet of things (IoT) in agriculture -- Chapter 19. Data-driven analysis for zoning vineyard of the wine-growing region using satellite images and vegetation indices -- Chapter 20. Cultivating efficiency-harnessing artificial intelligence (AI) for sustainable agriculture supply chains -- Chapter 21. Study on aerial monitoring system in agriculture, forestry, defense, and border protection using artificial intelligence (AI) -- Chapter 22. Enhancing aquaculture efficiency: automated feed management through deep learning -- Chapter 23. Classification of finding degree of truth using fuzzy logic system for generating a systematic flow of heat moisture system -- Chapter 24. Hyperspectral image classification using batch-based graph attentional networks in agriculture -- Chapter 25. Cyber security for internet of things (IoT) devices and sensors -- Chapter 26. An advanced cybersecurity model for high-tech farming using machine learning approach -- Chapter 27. Analysis on wireless technologies and application of sensors in the agriculture sector.

"In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components--such as enzymes or antibodies--on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students."--

Mode of access: World Wide Web.

ISBN: 9798369320709Subjects--Topical Terms:

581254
Agricultural biotechnology.
Subjects--Index Terms:

Agriculture.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: S494.5.B563 / A37 2024eb

Dewey Class. No.: 664/.024

Agriculture and aquaculture applications of biosensors and bioelectronics
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245 0 0 $a Agriculture and aquaculture applications of biosensors and bioelectronics $h [electronic resource] / $c Alex Khang, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (xxii, 576 p.) : $b ill., maps.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Biosensor applications and principles of agricultural and aquacultural sectors -- Chapter 2. Application of sensors for smart farming -- Chapter 3. Application of artificial intelligence (AI) in the agriculture sector -- Chapter 4. Enabling smart farming through edge artificial intelligence (AI) -- Chapter 5. Precision agriculture and unmanned aerial vehicles (UAVs) -- Chapter 6. Applications of sensors in precision agriculture for a sustainable future -- Chapter 7. Biosensors for environmental monitoring in the smart agriculture sector -- Chapter 8. Artificial intelligence (AI)-integrated biosensors and bioelectronics for agriculture -- Chapter 9. Integration of machine learning augmented with biosensors for enhanced water quality monitoring -- Chapter 10. Internet of things (IoT)-integrated technologies in the agriculture sector -- Chapter 11. Optical sensing for precision agriculture -- Chapter 12. Enhancing smart agriculture applications utilizing deep learning models and computer vision techniques -- Chapter 13. The emerging advancement of robotics in the modern agriculture field -- Chapter 14. Automated plant disease detection: a convergence of agriculture and technology -- Chapter 15. Automated plant disease detection systems for the smart farming sector -- Chapter 16. Dynamic energy model for internet of things (IoT)-integrated energy consuming sensors -- Chapter 17. Pathogen detection in dragonfruit with transfer learning and fine-tuned keras models -- Chapter 18. Potential growth of artificial intelligence (AI) and internet of things (IoT) in agriculture -- Chapter 19. Data-driven analysis for zoning vineyard of the wine-growing region using satellite images and vegetation indices -- Chapter 20. Cultivating efficiency-harnessing artificial intelligence (AI) for sustainable agriculture supply chains -- Chapter 21. Study on aerial monitoring system in agriculture, forestry, defense, and border protection using artificial intelligence (AI) -- Chapter 22. Enhancing aquaculture efficiency: automated feed management through deep learning -- Chapter 23. Classification of finding degree of truth using fuzzy logic system for generating a systematic flow of heat moisture system -- Chapter 24. Hyperspectral image classification using batch-based graph attentional networks in agriculture -- Chapter 25. Cyber security for internet of things (IoT) devices and sensors -- Chapter 26. An advanced cybersecurity model for high-tech farming using machine learning approach -- Chapter 27. Analysis on wireless technologies and application of sensors in the agriculture sector.
520 3 $a "In recent years, the advent of biosensors and bioelectronics has facilitated the swift and precise detection of numerous biomolecules or pathogens in animal samples, aquatic habitats, and plants. These technologies have emerged as potent assets for the agriculture and aquaculture industries. Many experts have raised the question; how might the integration of biosensors into portable devices or automated monitoring systems enable on-site and real-time detection of diverse biomolecules or pathogens? Agriculture and Aquaculture Applications of Biosensors and Bioelectronics presents the recent developments in biological recognition elements, transducer materials, and signal processing techniques for biosensors and bioelectronics used in agriculture and aquaculture applications. Sophisticated biosensors and bioelectronics operate through the immobilization of biological recognition components--such as enzymes or antibodies--on a transducer surface. This immobilization process allows for the targeted recognition and binding of biomolecules or pathogens. The resulting electrical, optical, or chemical changes triggered by the recognition event are quantifiable through various methods and are often enhanced by applications utilizing artificial intelligence (AI). The necessity for high sensitivity and selectivity, the optimization of biocompatibility and stability, and the integration of biosensors with AI-aided solutions are just some of the challenges and opportunities in developing biosensors for high-tech agriculture and aquaculture. This book targets a mixed audience of biotechnology engineers, biosensors scientists, bioelectronics researchers, high-tech agriculture analysts, Ph.D. scholars, researchers, academics, professionals, engineers, and students."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Agricultural biotechnology. $3 581254
650 0 $a Aquacultural biotechnology. $3 1498705
650 0 $a Biosensors. $3 555917
650 0 $a Agricultural instruments. $3 1275450
653 $a Agriculture.
653 $a Aquaculture.
653 $a Artificial Intelligence Integration.
653 $a Automated Monitoring Systems.
653 $a Bioelectronics.
653 $a Biological Recognition Elements.
653 $a Biosensors.
653 $a Digital Transformation Revolution.
653 $a Environmental Agriculture Monitoring.
653 $a High-tech Farming.
653 $a IoT Technologies.
653 $a Plant Disease Detection.
653 $a Transducer Materials.
653 $a Veterinary and Wearable Biosensors.
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Khang, Alex. $3 1422617
710 2 $a IGI Global. $3 805187
776 0 8 $i Print version: $z 9798369320693
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2069-3