Armstrong Dr Leisa (28 results)

Paperback. Condition: New. This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.The second chapter examines how robotic and AI can be used to improve precision irrigation in vineyards. The chapter pays particular attention to robot-assisted precision irrigation delivery (RAPID), a novel system currently being developed and tested at the University of California in the United States.The third chapter reviews the current state of mechanized collection technology, such as the development of harvest-assist platforms, as well as the possibilities of these machines to incorporate artificial vision systems to perform an in-field pre-grading of the product.The final chapter explores the emergence of the automated assessment of plant diseases and traits through new sensor systems, AI and robotics. The chapter then considers the application of these digital technologies in plant breeding, focussing on smart farming and plant phenotyping.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New. This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.The second chapter examines how robotic and AI can be used to improve precision irrigation in vineyards. The chapter pays particular attention to robot-assisted precision irrigation delivery (RAPID), a novel system currently being developed and tested at the University of California in the United States.The third chapter reviews the current state of mechanized collection technology, such as the development of harvest-assist platforms, as well as the possibilities of these machines to incorporate artificial vision systems to perform an in-field pre-grading of the product.The final chapter explores the emergence of the automated assessment of plant diseases and traits through new sensor systems, AI and robotics. The chapter then considers the application of these digital technologies in plant breeding, focussing on smart farming and plant phenotyping.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In English.

Paperback. Condition: New. This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.The second chapter examines how robotic and AI can be used to improve precision irrigation in vineyards. The chapter pays particular attention to robot-assisted precision irrigation delivery (RAPID), a novel system currently being developed and tested at the University of California in the United States.The third chapter reviews the current state of mechanized collection technology, such as the development of harvest-assist platforms, as well as the possibilities of these machines to incorporate artificial vision systems to perform an in-field pre-grading of the product.The final chapter explores the emergence of the automated assessment of plant diseases and traits through new sensor systems, AI and robotics. The chapter then considers the application of these digital technologies in plant breeding, focussing on smart farming and plant phenotyping.…

Paperback. Condition: New. This collection features four peer-reviewed reviews on Artificial Intelligence (AI) applications in agriculture.The first chapter reviews developments in the use of AI techniques to improve the functionality of decision support systems in agriculture. It reviews the use of techniques such as data mining, artificial neural networks, Bayesian networks, support vector machines and association rule mining.The second chapter examines how robotic and AI can be used to improve precision irrigation in vineyards. The chapter pays particular attention to robot-assisted precision irrigation delivery (RAPID), a novel system currently being developed and tested at the University of California in the United States.The third chapter reviews the current state of mechanized collection technology, such as the development of harvest-assist platforms, as well as the possibilities of these machines to incorporate artificial vision systems to perform an in-field pre-grading of the product.The final chapter explores the emergence of the automated assessment of plant diseases and traits through new sensor systems, AI and robotics. The chapter then considers the application of these digital technologies in plant breeding, focussing on smart farming and plant phenotyping.…

Condition: New.

Condition: New.

Hardback. Condition: New. This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production.Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce.With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.…

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New. Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of DSS in areas such as crop planting and nutrition, livestoc.

Condition: New. In English.

Hardback. Condition: New. This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production.Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce.With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.…

Hardback. Condition: New. This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production.Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce.With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.…

Hardcover. Condition: Brand New. 319 pages. 9.25x6.25x1.00 inches. In Stock.

Buch. Condition: Neu. Neuware - - Reviews key steps in improving data management, from improving data access and establishing standards for reliable data to effective tagging for discoverability as well as data security - Covers a wide range of practical applications of decision support systems (DSS) in crop production, such as crop planting, nutrition and use of rotations - Includes the use of DSS in key areas of livestock production such as feed optimization and pasture management.…

Hardback. Condition: New. This collection reviews and summarises the wealth of research on key challenges in developing better data management and decision support systems (DSS) for farmers and examples of how those systems are being deployed to optimise efficiency in crop and livestock production.Part 1 reviews general issues underpinning effective decision support systems (DSS) such as data access, standards, tagging and security. Part 2 contains case studies of the practical application of data management and DSS in areas such as crop planting, nutrition and use of rotations, livestock feed and pasture management as well as optimising supply chains for fresh produce.With its distinguished editor and international team of authors, Improving data management and decision support systems in agriculture will be a standard reference for researchers in agriculture and computer science interested in improving data management, modelling and decision support systems in farming, as well as government and other agencies supporting the use of precision farming techniques, and companies supplying decision support services to the farming sector.…

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorDr Leisa Armstrong is Senior Lecturer in Computer Science and leader of the eAgriculture Research Group at Edith Cowan University, Australia. Dr Armstrong is President of the Australian Society of ICT in Agriculture as.…

Hardcover. Condition: Brand New. 319 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.