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AgriTech Revolution : Next-Gen Solutions and Challenges in Modern Agriculture / / edited by Siddharth Singh Chouhan, Rajneesh Kumar Patel, Uday Pratap Singh, Sanjeev Jain
| AgriTech Revolution : Next-Gen Solutions and Challenges in Modern Agriculture / / edited by Siddharth Singh Chouhan, Rajneesh Kumar Patel, Uday Pratap Singh, Sanjeev Jain |
| Autore | Chouhan Siddharth Singh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (540 pages) |
| Disciplina | 630 |
| Altri autori (Persone) |
PatelRajneesh Kumar
SinghUday Pratap JainSanjeev |
| Collana | Biomedical and Life Sciences Series |
| Soggetto topico |
Agriculture
Human ecology - Study and teaching Biotechnology Computational intelligence Bioinformatics Botany Environmental Studies Computational Intelligence Plant Science |
| ISBN |
9789819512683
9789819512676 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. AI- Enhanced Agriculture: Cultivating the Future -- 2. Artificial intelligence in Agriculture: A transformative direction -- 3. Application of nanotechnology in soil fertility management and crop production: Opportunities and challenges in African agriculture -- 4. A Smart Aeroponics for Sustainable Agriculture: New Horizon and Use Cases -- 5. Mitrika: An IoT-based fertilization, watering, and crop health monitoring system for Precision Agriculture -- 6. AgriCloud: A Cloud-Based Framework for Scalable Crop Monitoring and Intelligent Decision Support -- 7. Remote sensing applications for precision farming -- 8. AI Technologies in Agriculture: Transforming Farming with Intelligent Solutions -- 9. Smart Greenhouses and Controlled Environment Agriculture -- 10. Machine vision and Deep learning for Smart Agriculture -- 11. Revolutionizing Indian Agriculture: The Role of Mechanization and Emerging AgriTech Innovations -- 12. Data Analytics and AI in Agribusiness -- 13. Agriculture 6.0: Smart and Sustainable Innovations Shaping the Future of Farming -- 14. Deep Learning for Precision Agriculture: Predicting Crop Yields in a Changing Climate -- 15. Sustainability and Environmental Impact of AgriTech Solutions -- 16. Digitalization in Smart Farming -- 17. Digitization in Smart Farming: Revolutionizing Agriculture -- 18. Blockchain Technology in Agrifood Supply Chains -- 19. Artificial Intelligence Technologies in Agriculture -- 20. Cropify - An Intelligent System for Crop Recommendation and Disease Identification. |
| Record Nr. | UNINA-9911035052203321 |
Chouhan Siddharth Singh
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computer Vision and Drone Technology in Agriculture 4.0 / / edited by Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain
| Applications of Computer Vision and Drone Technology in Agriculture 4.0 / / edited by Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain |
| Autore | Chouhan Siddharth Singh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (332 pages) |
| Disciplina | 630 |
| Altri autori (Persone) |
SinghUday Pratap
JainSanjeev |
| Soggetto topico |
Agriculture
Agricultural biotechnology Botany Agricultural Biotechnology Plant Science |
| ISBN |
9789819986842
9819986842 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 - Introduction to Computer Vison and Drone Technology -- Chapter 2 - Digital Insights into Plant Health: Exploring Vegetation Indices through Computer Vision -- Chapter 3 - Computer Vision and Agricultural Robotics for Disease Control -- Chapter 4 - Automated system for comprehensive plant disease analysis -- Chapter 5 - Computer Vision-Based Smart Monitoring and Control System for Crop -- Chapter 6- Implementations and Rationale for Blockchain Technique in Agriculture -- Chapter 7 - LeafNet – Design and Evaluation of a Deep CNN Model for Recognition of Plant Leaves, Chapter 8 - Harnessing Computer Vision for Agricultural Transformation: Insights, Techniques, and Applications -- Chapter 9 - Different vegetation indices measurement using computer vision -- Chapter 10 - Disease Control Measures Using Vision Enabled Agricultural Robotics -- Chapter 11 - Assessing the Quantity of a Crop Field Using Aerial Images -- Chapter 12 - Drone Based Intelligent Spraying of Pesticides: CurrentChallenges and its Future Prospects -- Chapter 13 - Drone spraying system for efficient agrochemical application in precision agriculture -- Chapter 14 - Efficient Patch-wise Crop Detection Algorithm for UAV-generated Orthomosaic -- Chapter 15 - Economic Evaluation of UAV-Based Soil Sampling Approaches -- Chapter 16 - Ariel Green Vision using Quad copter Pesticide Sprayer Drones - A Third Eye for Farmers -- Chapter 17 - Revolutionizing Agriculture: The Application of Computer Vision and Drone Technology. |
| Record Nr. | UNINA-9910845092603321 |
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Chouhan Siddharth Singh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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