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1.
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K 91
Kumar, A. V. Senthil, (1966-).
Fuzzy expert systems and applications in agricultural diagnosis / / A.V. Senthil Kumar, M. Kalpana. - Hershey, Pennsylvania : : IGI Global,, ©2020. - 1 online resource (355 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F08AA1BA-5818-443C-BB54-746B1A76D975. - ISBN 152259177X. - ISBN 9781522591771 (electronic bk.)
Print version record
Параллельные издания: Print version: :
~РУБ DDC 338.10285
Рубрики: Agriculture--Data processing.
Fuzzy expert systems.
Agriculture--Informatique.
Systèmes experts flous.
Agriculture--Data processing.
Fuzzy expert systems.
Доп.точки доступа:
Kalpana, M., \author.\
K 91
Kumar, A. V. Senthil, (1966-).
Fuzzy expert systems and applications in agricultural diagnosis / / A.V. Senthil Kumar, M. Kalpana. - Hershey, Pennsylvania : : IGI Global,, ©2020. - 1 online resource (355 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F08AA1BA-5818-443C-BB54-746B1A76D975. - ISBN 152259177X. - ISBN 9781522591771 (electronic bk.)
Print version record
Параллельные издания: Print version: :
Рубрики: Agriculture--Data processing.
Fuzzy expert systems.
Agriculture--Informatique.
Systèmes experts flous.
Agriculture--Data processing.
Fuzzy expert systems.
Доп.точки доступа:
Kalpana, M., \author.\
2.
Подробнее
I 69
Internet of Things and machine learning in agriculture : : technological impacts and challenges / / edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. - Berlin ; ; Boston : : Walter de Gruyter GmbH,, 2021. - 1 online resource (xvi, 410 pages) : : il. - (De Gruyter frontiers in computational intelligence ; ; volume 8). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/50820268-35AC-4432-8B7B-39A469CF486C. - ISBN 9783110691276 (electronic bk. ;. - ISBN 3110691272 (electronic bk. ;. - ISBN 9783110691283 (electronic bk. ;. - ISBN 3110691280 (electronic bk. ;
Print version of record.
Параллельные издания: Print version: : Chatterjee, Jyotir Moy Internet of Things and machine learning in agriculture. - Berlin/Boston : Walter de Gruyter GmbH,c2021
~РУБ DDC 338.102854678
Рубрики: Agriculture--Data processing.
Internet of things.
Artificial intelligence--Agricultural applications.
Machine learning.
Agriculture--Informatique.
Internet des objets.
Intelligence artificielle--Applications agricoles.
Apprentissage automatique.
COMPUTERS / Information Technology.
Agriculture--Data processing.
Internet of things.
Electronic books.
Аннотация: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Доп.точки доступа:
Jain, Vishal, (1983-) \editor.\
Chatterjee, Jyotir Moy, \editor.\
Kumar, Abhishek, \editor.\
Rathore, Pramod Singh, (1988-) \editor.\
I 69
Internet of Things and machine learning in agriculture : : technological impacts and challenges / / edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. - Berlin ; ; Boston : : Walter de Gruyter GmbH,, 2021. - 1 online resource (xvi, 410 pages) : : il. - (De Gruyter frontiers in computational intelligence ; ; volume 8). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/50820268-35AC-4432-8B7B-39A469CF486C. - ISBN 9783110691276 (electronic bk. ;. - ISBN 3110691272 (electronic bk. ;. - ISBN 9783110691283 (electronic bk. ;. - ISBN 3110691280 (electronic bk. ;
Print version of record.
Параллельные издания: Print version: : Chatterjee, Jyotir Moy Internet of Things and machine learning in agriculture. - Berlin/Boston : Walter de Gruyter GmbH,c2021
Рубрики: Agriculture--Data processing.
Internet of things.
Artificial intelligence--Agricultural applications.
Machine learning.
Agriculture--Informatique.
Internet des objets.
Intelligence artificielle--Applications agricoles.
Apprentissage automatique.
COMPUTERS / Information Technology.
Agriculture--Data processing.
Internet of things.
Electronic books.
Аннотация: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Доп.точки доступа:
Jain, Vishal, (1983-) \editor.\
Chatterjee, Jyotir Moy, \editor.\
Kumar, Abhishek, \editor.\
Rathore, Pramod Singh, (1988-) \editor.\
3.
Подробнее
A 26
Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park. - Amsterdam : : IOS Press,, 2019. - 1 online resource (120 pages). - (Ambient intelligence and smart environments ; ; 24). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4FA19FA1-3185-4072-8BA4-71FF0704EB99. - ISBN 9781614999690 (electronic bk.). - ISBN 1614999694 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed August 5, 2019)
Параллельные издания:
Содержание:
Intro; Title Page; Preface; Contents; Controlled Environment Agriculture: Using Intelligent Systems on the Next Level; Intelligent Environmental Biomonitoring Systems: A Promising Arena for Future; A Novel Design and Implementation of Data Acquisition and Preprocessing System for Precision Agriculture; Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques; Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops; Subject Index; Author Index
~РУБ DDC 338.16
Рубрики: Agricultural innovations.
Agriculture--Data processing.
Agricultural informatics.
Agriculture--Innovations.
Agriculture--Informatique.
Agricultural innovations.
Agriculture--Data processing.
Доп.точки доступа:
Muñoz, Andrés, \editor.\
Park, Jaehwa, \editor.\
A 26
Agriculture and environment perspectives in intelligent systems / / edited by Andrés Muñoz and Jaehwa Park. - Amsterdam : : IOS Press,, 2019. - 1 online resource (120 pages). - (Ambient intelligence and smart environments ; ; 24). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4FA19FA1-3185-4072-8BA4-71FF0704EB99. - ISBN 9781614999690 (electronic bk.). - ISBN 1614999694 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed August 5, 2019)
Параллельные издания:
Содержание:
Intro; Title Page; Preface; Contents; Controlled Environment Agriculture: Using Intelligent Systems on the Next Level; Intelligent Environmental Biomonitoring Systems: A Promising Arena for Future; A Novel Design and Implementation of Data Acquisition and Preprocessing System for Precision Agriculture; Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques; Minimum Temperature Prediction Models in Plots to Forecast Frost in Crops; Subject Index; Author Index
Рубрики: Agricultural innovations.
Agriculture--Data processing.
Agricultural informatics.
Agriculture--Innovations.
Agriculture--Informatique.
Agricultural innovations.
Agriculture--Data processing.
Доп.точки доступа:
Muñoz, Andrés, \editor.\
Park, Jaehwa, \editor.\
Страница 1, Результатов: 3