Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
- 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
Price: £140.00
Publisher: Burleigh Dodds Science Publishing
Imprint: Burleigh Dodds Science Publishing
Series: Burleigh Dodds Series in Agricultural Science
Publication Date:
23 April 2024
ISBN: 9781801463836
Format: eBook
BISACs:
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, EarsLab, 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;