Claus Grøn Sørensen 
Smart farms [EPUB ebook] 
Improving data-driven decision making in agriculture

Supporto


  • Provides a detailed overview of the recent trends in farm information management systems, including their evolution and role in improving farmer decision making

  • Considers the range of data mining techniques used in decision support systems, such as artificial neural networks and support vector machines

  • Includes a selection of case studies which explore the use of decision support systems in optimising farm management and productivity

€179.99
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Tabella dei contenuti

Part 1 General


  • 1.Trends in farm information management systems: Liisa Pesonen, Natural Resources Institute (LUKE), Finland;

  • 2.The role of digital technologies in achieving sustainable agriculture: Thiago L. Romanelli, André F. Colaço and João P. S. Veiga, University of São Paulo, Brazil;

  • 3.Key issues in incorporating proximal and remote sensor data into farm decision-making: Adélia M. O. Sousa, Universidade de Évora, MED, CHANGE, Ears Lab, Portugal; José R. Marques da Silva, Universidade de Évora, MED, CHANGE, Agroinsider Lda, Portugal; João Serrano, Shakib Shahidian and Duarte Lobo da Silveira, Universidade de Évora, MED, CHANGE, Portugal; Manuela Simões, Universidade Nova de Lisboa, Portugal; Ana Cristina Gonçalves, Maria João P. Caldinhas and Vasco Fitas da Cruz, Universidade de Évora, MED, CHANGE, Portugal; Arilson J. de Oliveira Júnior and Silvia R. Lucas de Souza, São Paulo State University, Brazil; Diogo R. Coelho, Universidade de Évora, MED, Portugal; Patrícia Lourenço, Agroinsider Lda, Portugal; and Fátima F. Baptista, Universidade de Évora, MED, CHANGE, Portugal;

  • 4.Agri Semantics: developments to improve data interoperability to support farm information management and decision support systems in agriculture: Saba Noor, Jade Bokma and Bart Pardon, Ghent University, Belgium; Gerdien van Schaik, Utrecht University, The Netherlands; and Miel Hostens, Cornell University, USA;

  • 5.Using data mining techniques for decision support in agriculture: support vector machines: Wu Caicong, China Agricultural University, China;


Part 2 Case studies


  • 6.Developing decision support systems for irrigation/water management on farms: Fedro S. Zazueta, University of Florida, USA;

  • 7.Advances in crop disease forecasting models: Nathaniel Newlands, Summerland Research and Development Centre, Science and Technology Branch, Agriculture and Agri-Food Canada, Canada;

  • 8.Smart farming in extensive livestock production: the Australian experience: David W. Lamb, Food Agility Cooperative Research Centre/ Precision Agriculture Research Group – University of New England/ Gulbali Research Institute – Charles Sturt University, Australia;

Circa l’autore

Professor Claus Grøn Sørensen is Head of Research Unit in the Department of Electrical and Computer Engineering, Aarhus University. He is internationally renowned for his research in production and operations management, decision analysis, information modelling, system analysis, and simulation and modelling of technology applications in agriculture. He has participated in a number of EU research projects, such as Internet of Food and Farms 2020, Future Farm and Smart Agri Food. He is the winner of the Recognition Award for service as President of Eur Ag Eng (European Society of Agricultural Engineers), Merit Award for service as President of CIGR Section V and promoting cooperation with international organisations, and Outstanding Paper Award from the editors of Biosystems Engineering. He is currently serving in the executive committee of Eur Ag Eng and as incoming President of CIGR. He also serves as a full member of the Club of Bologna and he is an i ABBE fellow of the International Academy of Biosystems and Agricultural Engineering.

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Lingua Inglese ● Formato EPUB ● Pagine 238 ● ISBN 9781801463836 ● Dimensione 4.9 MB ● Editore Claus Grøn Sørensen ● Casa editrice Burleigh Dodds Science Publishing ● Città Cambridge ● Paese GB ● Pubblicato 2024 ● Scaricabile 24 mesi ● Moneta EUR ● ID 9382224 ● Protezione dalla copia Adobe DRM
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