Blasco Dr Jose (14 results)

Rústica. 183pp 15x21.

Encuadernación de tapa blanda. Condition: Bien. Q052348. Dr. Jose M Blasco Endeiza - 183pp Tapa blanda 183 paginas. PC.

Encuadernación de tapa blanda. Condition: Bien. E271736 - 183pp In.

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.…

Encuadernación de tapa blanda. Condition: Muy Bien. 257 p.

Condition: New. 5W Infographic, Estudio; Orbe Ferreiro, Alejandro De; Mesa Quintana, Alejandro; Blasco Feliu, Amadeu; Muñoz Tenllado, Antonio; Solutions, Anxures; Archivo SM,; Gómez, Ariel Alejandro; Abreu Avellaneda, Carlos Iván; Martínez Álvarez, Carlos; Méndez Cedano, Christian Fernando; Clueca Diseño Gráfico E Ilustración,; Guilombo Ramírez, Diomedes; Rodríguez Marín, Eduardo; El Ojo Del Huracán,; Moreno Arrastio, Félix; Vitali, Giselle; GlezBros,; Díez Celaya, Guillermo; Salais, Hugo; ., J.H. Davies And D.R. Davies; Pedrosa Pérez, José Manuel; Santos González, José; Rocafort, Juan Antonio; Martí Saurí, Lluís; Mosquera Arancibia, Luis; Campos Canudas, Meritxell; Fernández Prímola, Nicolás; Jurado, Pablo; Colera Cañas, Ramón; Salas Loizaga, Ricardo; Alberto Moralejo, Santiago; Shutterstock,; González Pérez, Yolanda (illustrator).…

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.…

Couverture souple. Condition: bon. RO30031933: 1993. In-8. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 183 pages. Ouvrage en espangol. . . . Classification Dewey : 460-Langues espagnole et portugaise.

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.…

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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.…