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Professor Claus Grøn Sørensen Smart Farms (Hardback) (UK IMPORT)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Smart Farms
Publication Name
Smart Farms : Improving Data-Driven Decision Making in Agriculture
Title
Smart Farms
Subtitle
Improving Data-Driven Decision Making in Agriculture
Author
Liisa Pesonen
Contributor
Dr Gerdien van Schaik (Contributions by)
Format
Hardcover
EAN
9781801463829
ISBN
9781801463829
Publisher
Burleigh Dodds Science Publishing The Limited
Genre
Science Nature & Math
Subject
Technology & Engineering
Release Date
23/04/2024
Release Year
2024
Country/Region of Manufacture
GB
Item Height
229mm
Item Length
9in
Series
Burleigh Dodds Series in Agricultural Science Ser.
Language
English
Publication Year
2024
Type
Textbook
Item Width
6in
Number of Pages
238 Pages

About this product

Product Information

This collection reviews recent advances in processing and analysing data to provide actionable outcomes for farmers to be able to achieve a more sustainable agriculture and reduce the sector's contribution to climate change.

Product Identifiers

Publisher
Burleigh Dodds Science Publishing The Limited
ISBN-10
1801463824
ISBN-13
9781801463829
eBay Product ID (ePID)
22064613593

Product Key Features

Author
Liisa Pesonen
Publication Name
Smart Farms : Improving Data-Driven Decision Making in Agriculture
Format
Hardcover
Language
English
Series
Burleigh Dodds Series in Agricultural Science Ser.
Publication Year
2024
Type
Textbook
Number of Pages
238 Pages

Dimensions

Item Length
9in
Item Width
6in

Additional Product Features

Series Volume Number
147
Lc Classification Number
S494.5.D3s6 2024
Table of Content
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;
Copyright Date
2024
Topic
Agriculture / Agronomy / Crop Science, Agriculture / Sustainable Agriculture, Agriculture / General, Imaging Systems
Dewey Decimal
338.10285
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Genre
Technology & Engineering

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