Smart farms

Improving data-driven decision making in agriculture
Erscheinungsjahr 2024
ISBN: 978-1-80146-382-9
Verlag: Burleigh Dodds Science Publishing

Buch, Englisch, Band 147, 300 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 504 g

Reihe: Burleigh Dodds Series in Agricultural Science

The agricultural sector remains under increasing pressure to reduce its environmental impact and consequent contribution to climate change, whilst also producing enough food to feed a rapidly growing population. With the variety and volume of data, coupled with the advanced methods for data processing, a new era of digital agriculture is emerging as a possible solution to this monumental challenge.

Smart farms: improving data-driven decision making in agriculture provides a comprehensive review of the recent advances in gathering and analysing data as a means of improving farm sustainability, productivity and profitability. The book discusses the evolution of farm information management systems, highlighting current trends and challenges, as well as methods of data acquisition and analysis, including the use of artificial intelligence.

Zielgruppe

Researchers working in agriculture and computer science with an interest in enhancing data management and decision support systems, farmers, governments and other agencies supporting the emergence of a new era of digital agriculture; as well as companies supplying data management and decision support services to the farming sector

Autoren/Hrsg.

Grøn Sørensen, Claus

Claus Sørensen, Professor

Weitere Mitwirkende

Pesonen, Dr Liisa

Lamb, Professor David

Zervakis, Professor Michalis

Baptista, Dr Fatima

Hostens, Dr Miel

Miranda Trujillo, Professor Luis Carlos

Wu, Dr Caicong

Rupnik, Dr Rok

Romanelli, Professor Thiago

Perez-Ruiz, Dr Manuel

Zazueta, Emeritus Professor Fedro

Newlands, Dr Nathaniel

Fachgebiete

• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Agrartechnik, Landmaschinen
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft

Inhaltsverzeichnis

Part 1 General
- 1.Trends in farm management systems (FMIS): Liisa Pesonen, MTT Agri-Food Research, Finland
- 2.Improving farm production planning information systems: Thiago Romanelli, University of Sao Paulo, Brazil
- 3.Incorporating digital image data into farm information management/decision support systems: Michalis Zervakis, Technical University of Crete, Greece
- 4.Incorporating proximal and remote sensor data into farm information systems: case studies: Fatima Baptista, University of Evora, Portugal
- 5.AgriSemantics: developments in improving data interoperability to support applications such as farm information management/decision support systems: Miel Hostens, Utrecht University, The Netherlands
- 6.Using data mining techniques for decision support in agriculture: support vector machines: Caicong Wu, China Agricultural University, China

Part 2 Case studies
- 7.Developing decision support systems for irrigation/water management on farms: Fedro Zazueta, University of Florida, USA
- 8.Advances in crop disease forecasting models: Nathaniel Newlands, Summerland Research and Development Centre, Science and Technology Branch, Agriculture and Agri-Food Canada, Canada
- 9.Smart Farming in extensive livestock production: the Australian experience: David Lamb, University of New England/Food Agility CRC, Australia

Über Autor(innen)

Claus Sørensen, Professor
Professor Claus Sørensen is a Senior Scientist in the Department of Electrical and Computer Engineering at Aarhus University, Denmark. He is internationally renowned for his research on analysing data flows in farming operations to optimise resource use. He is winner of outstanding paper awards from the European Society of Agricultural Engineers (EurAgEng) and the journal Biosystems Engineering. He is past President of EurAgEng and current Workgroup Coordinator of the International Commission of Agricultural and Biosystems Engineering (CIGR). He has participated in a number of EU research projects such as Internet of Food and Farms 2020, FutureFarm and SmartAgriFood2 and has been a member of the scientific committees for conferences organised by the European Federation for Information Technology in Agriculture, Food and the Environment (EFITA) as well as other biosystems engineering conferences.