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Paperback. Zustand: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.…

Paperback. Zustand: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.…

Zustand: New.

Paperback. Zustand: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.…

Paperback. Zustand: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.…

Zustand: New. In English.

Hardcover. Zustand: New. 1st Edition. Contents: Foreword. Preface. 1. Appoaches in Nematode Management: New Perspectives/K. S. Varaprasad, M. Nagesh and B. Gayatri. 2. Behaviour Modifying Chemicals and their Utility in Pest Management/A. R. Prasad, A. L. Prasuna and K. N. Jyothi. 3. Biological Control of Soil-borne Plant Pathogens using Arbuscular Mycorrhizal Fungi/D. J. Bagyaraj.4. Addressing Plant Health Management using Diagnostics and Certification Issues/V. Celia Chalam, R. K. Khetarpal and P. C. Agarwal.5. Vision and Action Plan for Managing Emerging Pests towards Ensuring Food Security/G. V. Ranga Rao, V. Rameshwar Rao and T. Ramesh Babu.6. Application of Modern Tools of Biotechnology for Pest Management/Hari C. Sharma. 7. Nanotechnology Applications in Plant Health Management/K. S. Subramanian, K. Gunasekaran, M. Kannan and M. Praghadeesh. 8. Policies Related to Biosecurity in Trade and Exchange of Germplasm in the Context of Plant Health Management/Kavita Gupta and P. C. Agarwal. 9. Pesticide Residues in Food: An Indian Perspective/K. K. Sharma and Sreenivasa Rao Cherukuri.10. Pest Forecasting and Modelling/Y. G. Prasad. 11. Recent Trends in the Analysis of Pesticide Residues by Mass Spectrometric Techniques/S. K. Raza and S. Alam. 12. Electron Beam Irradiaton: A Novel Disinfestation Technology of 21st Century for Phytosanitary Purposes/Shashi Bhalla, K. Srinivasan, J. Dwivedi and Arun Sharma.13. Geographical Information System (GIS) for Managing Plant Genetic Resources with Special Reference to Crop Health Management/N Sivaraj, S. R. Pandravada, V. Kamala, N. Sunil, K. Anitha, K. Rameash, Babu Abraham, B Sarath Babu, S K Chakrabarty, K. S. Varaprasad and P. C. Agarwal. 14. Entomopathogenic Nematodes as a Component in Rice Pest Management: A Journey from Lab to Land/J. S. Prasad, A. P. Padmakumari, N. Somasekhar and G. Katti. 15. Indian Scenario of Invasive Mealybug, Paracoccus marginatus/M. Mani, A. N. Shylesha, A. Krishnamoorthy, M. Kalyanasundaram, R. V. Nakat, K. R. Lyla and S. J. Rahman. Index. The publication entitled, "Plant Health Management for Food Security: Issues and Approaches" provides information on wide range of subject areas related to plant health management for food security. The major themes covered include frontier areas of research emphasizing use of behavior modifying chemicals, issues related to pesticide residues, applications of nanotechnology, modern tools of biotechnology for host plant resistance etc. Pest management issues covering shifts in pest scenario, pest diagnostics and certification issues, pest forecasting and modeling, novel disinfestation technology against insect pests and biosecurity policies in trade and exchange of germplasm are very well discussed. Emerging biotic stresses such as plant parasitic nematodes, role of arbuscular mycorrhizal fungi (AMF) as eco-friendly alternative in disease suppression, geographical information system for managing plant genetic resources etc. are some other important topics covered in the book. (jacket).…

Zustand: New. In English.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.…

Paperback. Zustand: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.…

Paperback. Zustand: New. This collection features five peer-reviewed literature reviews on decision support systems (DSS) in agriculture.The first chapter provides a review of DSS in agriculture, whilst addressing the key questions surrounding their use for farm soil and crop management. The different aspects of agricultural DSS design, implementation and operation are also discussed.The second chapter assesses the role of DSS for pest monitoring and management through information technology such as, remote sensing, GIS, spectral indices, image-based diagnostics, and phenology-based degree day models.The third chapter discusses the potential of implementing DSS within the growing mechanisation in greenhouses. It examines differences in development and application of deterministic explanatory and data-based models for real-time control and DSS.The fourth chapter explores the key issues associated with deploying DSS in precision agriculture, whilst also considering their human and social aspects. The chapter also considers how future research on DSS can be moulded to improve productivity in a precision agriculture setting.The final chapter outlines the importance of a participatory approach in DSS development, whilst also offering examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management.…

Paperback. Zustand: New. This collection features six peer-reviewed reviews on advances and in detecting and forecasting crop pests and diseases.The first chapter introduces the concept of machine learning to identify and diagnose crop diseases, focussing on the deep learning concept.The second chapter discusses recent advances in crop disease forecasting models, focussing on the application of precision agriculture technologies and Earth observation satellites to identify areas at risk of possible disease outbreaks.The third chapter explores the contribution of remote sensing in improving the ways in which plant health is monitored in response to exposure to biotic stresses, such as disease.The fourth chapter reviews how sensor technologies in combination with informatics and modern application technologies can contribute to more effective pest control.The fifth chapter assesses the role of decision support systems for pest monitoring and management through information technology, such as spectral indices and image-based diagnostics.The final chapter addresses key issues and challenges in pest monitoring and forecasting models, such as the limitation of some traps in attracting insects through the use of sex pheromones.…

Zustand: New. Heterocyclic chemistry is the biggest branch of chemistry covering two-third of the chemical literatureSeries covers hot topics of frontier research summarized by reputed scientists in the field, Review series is topic relatedOnline .