Voleti (27 results)

Condition: New.

Condition: New.

Paperback. Condition: 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. Condition: 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. Condition: 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. Condition: 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.

Condition: Buone. italiano Condizioni dell'esterno: Buone Condizioni dell'interno: Buone.

Condition: New. In.

Condition: New. In.

Hard Cover. Condition: Very Good. No Jacket. P.M. Printers, 2005, Folio, numerous color photos. Decorative hard cover, inscription on front endpage by previous owner, else book very good. Size: Folio - over 12" - 15" tall.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: 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. Condition: 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. Condition: 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. Condition: 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.

Couverture rigide. Condition: Bon. Avec 2 photos. Envoi rapide et protégé.

Condition: New. Print on Demand.

Condition: New. Print on Demand pp. 150.

Condition: New. Print on Demand.

Condition: New. Print on Demand pp. 150.

Condition: New. PRINT ON DEMAND.

Condition: New. PRINT ON DEMAND pp. 150.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Brand Equity is an important and expansive measure of brand performance. Estimating Brand Equity can be challenging. This book presents an approach to do so using secondary sales data alone. The approach assumes that brand premiums arise as a deviation from the sales performance of an unbranded generic product. The deviation itself can be estimated by borrowing and adapting stochastic frontier models popular in production economics. The extent of such deviation form a neat proxy for brand equity which, when fed into a discounted cash flow model, yields measures of brand value. These brand value measures can be externally validated via a simple comparison against brand valuation figures routinely published by syndicated data and analysis providers who use proprietary methodologies in their computations. The book depicts an example from the beer industry. Chapters 2 and 3 of the book extend the brand equity computation principle to store brands and spatio-geographical effects of brand equity, respectively. 160 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Voleti SudhirProfessor Voleti is an Assistant professor with the Marketing Area at the ISB. He has worked in the industry as a management consultant and a software analyst. His research focuses on econometric and statistical methods .

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Brand Equity is an important and expansive measure of brand performance. Estimating Brand Equity can be challenging. This book presents an approach to do so using secondary sales data alone. The approach assumes that brand premiums arise as a deviation from the sales performance of an unbranded generic product. The deviation itself can be estimated by borrowing and adapting stochastic frontier models popular in production economics. The extent of such deviation form a neat proxy for brand equity which, when fed into a discounted cash flow model, yields measures of brand value. These brand value measures can be externally validated via a simple comparison against brand valuation figures routinely published by syndicated data and analysis providers who use proprietary methodologies in their computations. The book depicts an example from the beer industry. Chapters 2 and 3 of the book extend the brand equity computation principle to store brands and spatio-geographical effects of brand equity, respectively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Brand Equity is an important and expansive measure of brand performance. Estimating Brand Equity can be challenging. This book presents an approach to do so using secondary sales data alone. The approach assumes that brand premiums arise as a deviation from the sales performance of an unbranded generic product. The deviation itself can be estimated by borrowing and adapting stochastic frontier models popular in production economics. The extent of such deviation form a neat proxy for brand equity which, when fed into a discounted cash flow model, yields measures of brand value. These brand value measures can be externally validated via a simple comparison against brand valuation figures routinely published by syndicated data and analysis providers who use proprietary methodologies in their computations. The book depicts an example from the beer industry. Chapters 2 and 3 of the book extend the brand equity computation principle to store brands and spatio-geographical effects of brand equity, respectively.