Smart farms: Improving data-driven decision making in agriculture

by Claus Grøn Sørensen (Editor), Liisa Pesonen (Contribution by), Thiago Romanelli (Contribution by), André F. Colaço (Contribution by), João P. S Veiga (Contribution by)

Overview

• 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

Product Details

ISBN-13:	9781801463836
Publisher:	Burleigh Dodds Science Publishing
Publication date:	04/23/2024
Series:	Burleigh Dodds Series in Agricultural Science , #147
Sold by:	Barnes & Noble
Format:	eBook
Pages:	238
File size:	5 MB

About the Author

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, FutureFarm and SmartAgriFood. He is the winner of the Recognition Award for service as President of EurAgEng (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 EurAgEng and as incoming President of CIGR. He also serves as a full member of the Club of Bologna and he is an iABBE fellow of the International Academy of Biosystems and Agricultural Engineering.

Table of Contents

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;

What People are Saying About This

From the Publisher

“Although digital agriculture is gaining momentum with the advent of smart tools and intelligent farm equipment, the application of artificial intelligence to agriculture strongly relies on the quality and quantity of data acquired from the crops. In this new book, Professor Sørensen has focused on a key point for a successful digitization of the farm; the practical execution of data-driven solutions, and to do so, he has brought together an outstanding team of recognized agricultural scientists and engineers. This collection will be valuable to agricultural researchers, industry developers, farm practitioners, students, and many other professionals committed to push the agriculture of the 21st Century into a sustainable activity.” (Francisco Rovira-Más, Professor of Digital Agriculture, Universityat Politècnica de València, Spain)