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Table Card RUSMARC
Title: De Gruyter frontiers in computational intelligence ;. Internet of Things and machine learning in agriculture: technological impacts and challenges. — v. 8.
Other creators: Jain Vishal; Chatterjee Jyotir Moy; Kumar Abhishek; Rathore Pramod Singh
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: 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.; Electronic books.; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1237869791

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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.

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Table of Contents

  • Preface
  • Acknowledgments
  • Contents
  • List of contributors
  • Part I: Machine learning and Internet of things in agriculture
  • 1 Smart farming: using IoT and machine learning techniques
  • 2 Food security and farming through IoT and machine learning
  • 3 An innovative combination for new agritechnological era
  • 4 Recent advancements and challenges of artificial intelligence and IoT in agriculture
  • 5 Technological impacts and challenges of advanced technologies in agriculture
  • Part II: Applications of Internet of things in agriculture
  • 6 IoT-based platform for smart farming – Kaa
  • 7 Internet of things platform for smart farming
  • 8 Internet of things platform for smart farming
  • 9 Internet of things platform for smart farming
  • Part III: Applications of machine learning in agriculture
  • 10 Kisan-e-Mitra: a tool for soil quality analyzer and recommender system
  • 11 Artificial intelligence for plant disease detection: past, present, and future
  • 12 Wheat rust disease identification using deep learning
  • 13 Image-based hibiscus plant disease detection using deep learning
  • 14 Rainfall prediction by applying machine learning technique
  • 15 Plant leaf disease classification based on feature selection and deep neural network
  • 16 Using deep learning for image-based plant disease detection
  • 17 Using deep learning for image-based plant disease detection
  • 18 Using deep learning for image-based plant disease detection
  • Index

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