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We provide two pathways to the content. Thematic (chapters that address certain themes, e.g. cultivation, regardless of crop or animal type) and Product (chapters that relate to a specific type of crop or animal). Choose the most applicable route to find the right collection for you. 
 
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Technology & data collection

Code: 88973
This is the Technology & data collection. This collection includes 80 chapters that covers advances in precision agriculture, data management and its application in modelling and decision support systems. It covers areas such as sensor technology, robotics and automation as well as data management.

To download the list of chapters in this collection click here
£951.00
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A selection of chapters in this collection:
Status of mechanization in Conservation Agriculture systems: Augusto Guilherme de Araújo, Agricultural Research Institute of Paraná State (IAPAR), Brazil; Brian Sims, Independent Consultant, UK; Jack Desbiolles, University of South Australia, Australia; Denizart Bolonhezi, Agronomic Institute of Campinas (IAC), Brazil; Enamul Haque, Murdoch University, Australia; He Jin, China Agricultural University, China; Jamil Abdalla Fayad, Independent Consultant, Brazil; Josef Kienzle, Food and Agriculture Organization of the United Nations (FAO), Italy; Leandro do Prado Wildner, Agricultural Research and Rural Extension Corporation of Santa Catarina State (EPAGRI), Brazil; Li Hongwen, China Agricultural University, China; Marcelo Zanella, Agricultural Research and Rural Extension Corporation of Santa Catarina State (EPAGRI), Brazil; Oussama El Gharras, National Agricultural Research Institute (INRA), Morocco; Richard Bell, Murdoch University, Australia; Roberto Peiretti, Global Farmer Network (GFN), Argentina; Saidi Mkomwa, African Conservation Tillage Network (ACT), Kenya; Sjoerd Willem Duiker, Pennsylvania State University, USA; and Theodor Friedrich, Food and Agriculture Organization of the United Nations (FAO), Italy
Harvesting citrus: challenges and perspectives in an automated world: Marcos David Ferreira, Embrapa Instrumentação, Brazil
Advances and improvements in modeling plant processes: Soo-Hyung Kim and Jennifer Hsiao, University of Washington, USA; and Hannah Kinmonth- Schultz, University of Kansas, USA
Agroecosystem models for delivering ecosystem services: Jerry L. Hatfield, Christian Dold, Erica J. Kistner-Thomas and Kenneth M. Wacha, USDA-ARS, USA
Crop simulation model inter-comparison and improvement: Senthold Asseng, University of Florida, USA; Pierre Martre, INRA, France; and Frank Ewert, University of Bonn and Leibniz Centre for Agricultural Landscape Research (ZALF), Germany
Data for developing, testing, and applying crop and farm models: Frits K. van Evert, Wageningen University & Research, Agrosystems Research, The Netherlands
Dealing with uncertainty in crop models: Daniel Wallach, INRA, France
Developing climate-based decision support systems from agricultural systems models: Clyde W. Fraisse, University of Florida-Gainesville, USA; Norman E. Breuer, Catholic University Nuestra Señora de la Asunción, Paraguay; and Victor Cabrera, University of Wisconsin-Madison, USA
DSSAT crop modeling ecosystem: Gerrit Hoogenboom, Cheryl H. Porter, Kenneth J. Boote and Vakhtang Shelia, University of Florida, USA; Paul W. Wilkens and Upendra Singh, International Fertilizer Development Center, USA; Jeffrey W. White, USDA-ARS, USA; Senthold Asseng, University of Florida, USA; Jon I. Lizaso, Universidad Politécnica de Madrid, Spain; L. Patricia Moreno, University of Florida, USA; Willingthon Pavan, Universidade de Passo Fundo, Brazil; Richard Ogoshi, University of Hawaii, USA; L. Anthony Hunt, University of Guelph, Canada; Gordon Y. Tsuji, University of Hawaii, USA; and James W. Jones, University of Florida, USA
Functional–structural plant modeling of plants and crops: Jochem B. Evers and Leo F. M. Marcelis, Wageningen University, The Netherlands
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