IoT and AI in Agriculture Smart Automation Systems for increasing Agricultural Productivity to Achieve SDGs and Society 5.0 /

This book covers smart agricultural space and its further development with an emphasis on ultra-saving labor shortages using AI-based technologies. A transboundary approach, as well as artificial intelligence (AI) and big data for bioinformatics, are required to increase timeliness and supplement th...

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Detaylı Bibliyografya
Müşterek Yazar:	SpringerLink (Online service)
Diğer Yazarlar:	Ahamed, Tofael (Editör)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edisyon:	1st ed. 2024.
Konular:	Agriculture. Automation. Sustainability. Machine learning. Agricultural biotechnology. Plant biotechnology. Machine Learning. Agricultural Biotechnology. Plant Biotechnology.
Online Erişim:	https://doi.org/10.1007/978-981-97-1263-2
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

İçindekiler:

Chapter 1. Digital Innovations in Agri-Food Systems to Achieve SDGs and Society 5.0
Chapter 2. Short Strategic Notes (SSN): Smart Soil and Water Management for Bioresources
Chapter 3. Design of Navigation System for Transportation Mobile Robot for Agricultural Farms
Chapter 4. A New Small-Scale Autonomous Multi-Crop Seeder
Chapter 5. Automatic Navigation of Pesticide Spraying Vehicle for Orchard Crops
Chapter 6. Short Strategic Notes (SSN): Advanced Machinery for Increasing Agriculture Productivity
Chapter 7. Navigation System for Autonomous Agricultural Vehicle for Orchard Operations
Chapter 8. Driver Safety System for Agricultural Machinery Operations Using Deep Learning Algorithm
Chapter 9. Navigation System for Autonomous Agricultural Vehicle for Indoor Farms
Chapter 10. Digital Transformation of Horticultural Crops Pre-post-harvest Management Against Pest Infestation in Sustainable Agricultural Productivity
Chapter 11. Challenges in Orchard Weeding Systems:A Perspectives of 3D-Camera and Lidar Application Oriented Robots and their Potential
Chapter 12. Development of Automatic Navigation System for Mechanical Weeder in Cassava Field
Chapter 13. Short Strategic Notes (SSN): Smart Automation System for Water Saving Technology
Chapter 14. Internet of Things (IoT)-based Smart Agriculture to Increase Productivity and Aiming to Achieve SDGs
Chapter 15. Maximizing Water Use Efficiency Through Employing Smart Precision Irrigation Technologies
Chapter 16. AI-based IoT Greenhouse Control System for Environmental Parameters
Chapter 17. Advanced IoT Application in Aquaculture for Fish Production Monitoring
Chapter 18. Object Detection: Challenges in Different Convolution Neural Network
Chapter 19. Recognition and Localization of Pears in Complex Orchards Using 3D Stereo Camera System and Deep Learning Algorithm
Chapter 20. Smart Automations for End-Effector in Development of Horticultural Robots
Chapter 21. Short Strategic Notes(SSN): Advanced Integrated System for Green-house Livestock’s and Poultry Production
Chapter 22. Fast and Non-Destructive Quail Egg Freshness Assessment Using a Thermal Camera and Deep Learning
Chapter 23. Conclusion: The Future of Intelligence Systems for Sustainable Agri-Food Systems Prioritizing SDGs and Society 5.0.

IoT and AI in Agriculture Smart Automation Systems for increasing Agricultural Productivity to Achieve SDGs and Society 5.0 /

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