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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 | 981-9986-84-2 |
| 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 |
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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Artificial Intelligence Techniques in Smart Agriculture / / edited by Siddharth Singh Chouhan, Akash Saxena, Uday Pratap Singh, Sanjeev Jain
| Artificial Intelligence Techniques in Smart Agriculture / / edited by Siddharth Singh Chouhan, Akash Saxena, Uday Pratap Singh, Sanjeev Jain |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XXII, 287 p. 93 illus., 86 illus. in color.) |
| Disciplina | 630 |
| Soggetto topico |
Agriculture
Agricultural biotechnology Artificial intelligence Image processing - Digital techniques Computer vision Agricultural Biotechnology Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-9758-78-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Assessing the importance and need of Artificial Intelligence for Precision Agriculture -- Chapter 2. Challenges in Achieving Artificial Intelligence in Agriculture -- Chapter 3. Introduction to Artificial Intelligence techniques in Agricultural applications and their future aspects -- Chapter 4. Agricultural Artificial Intelligence: Obstacles and Opportunities -- Chapter 5. Smart Farming Management System: Pre and Post Production Interventions -- Chapter 6. Introduction to various intelligent devices and implementation platforms -- Chapter 7. Fruit Counting and Analysis Using Artificial Intelligence Approaches -- Chapter 8. Deep Learning-Based Plant Stress Diagnosis: An Optimized Generative Augmentation Model Approach -- Chapter 9. Transformative Impact of AI-Driven Computer Vision in Agriculture -- Chapter 10. An in-depth analysis of artificial intelligence-based crop pest management and water supply regulation -- Chapter 11. AI for Data-Driven Decision Making in Smart Agriculture: From Field to Farm Management -- Chapter 12. AI based Regulation of Water supply and Pest Management in Farming -- Chapter 13. Advancement and Challenges of Implementing Artificial Intelligence of Things in Precision Agriculture -- Chapter 14. Enabling Digital Platforms: Towards Smart Agriculture -- Chapter 15. IoT and Drone-Based Field Monitoring and Surveillance System -- Chapter 16. IoT based Real Time Farm Management System for Smart Agriculture. |
| Record Nr. | UNINA-9910897981703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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