Scope of the book

TOPICS OF INTEREST

The topics covered in the edited book will include, but not limited to:

Part 1: Fundamentals of Smart Agriculture

Topic 1. Machine learning based Agriculture

  • Role of machine learning in agriculture

  • Component of machine learning

  • Basic of predictions

  • Water level management

Topic 2: Monitoring agriculture essentials

  • Soil monitoring and management

  • Daily dew point temperature

  • Soil drying

  • Crop quality prediction

  • Yield prediction

  • Weed detection methods

Topic 3: Livestock management in agriculture

  • Livestock production

  • Animal welfare

  • Machine learning technique for livestock management

  • Animal weed management methods

Part 2: Market, Technology and products

Topic 4: Agriculture Economics

  • Prediction of Crop price

  • Impact of GDP

  • Economical changes in Traditional Agriculture Vs Machine Learning Agriculture

  • Meteorology

Topic 5: Digital Marketing and its impact

  • Connection with Local Market using Android App

  • Daily marketing Price prediction

  • Direct selling price in small vendors market

  • Future price prediction of crop

Topic 6: Technology and products

  • Harvesting crops products and technologies

  • Field work management technologies

  • Human Resource Management

  • Blue River Technology–Weed Control

Part 3: Tools and Techniques

Topic 7: Modeling Techniques used in Smart Agriculture

  • Fuzzy logic

  • Artificial neural networks (ANN)

  • Neuro-fuzzy logic

  • Expert systems

  • Deep Learning approaches

Topic 8: Diseases detection

  • Different diseases detection method

  • Using Machine Learning for Image-Based Plant Disease Detection

  • Convolutional Neural Network (CNN) for diseases detection

  • Automatic detection of diseases in leaves, neural networks application

Topic 9: Food Security

  • Care Behavior

  • Health Care

  • Goods Effecting Food Security

  • Private/Public transfers

Topic 10: Medicines Care Management

  • Education and Training as Intervention Strategies

  • The Agricultural Environment

  • Occupational and Environmental Health for the Health Professions

  • Agricultural Medicine: A Practical approach

Topic 11: Detection and diagnosis of plant diseases

  • Detection and diagnosis diseases

  • Current and Prospective Methods for Plant Disease Detection

  • Relationship Between Agriculture and Healthcare

  • Virus in the infected plant material

Topic 12: Machine Learning Technique for agriculture image recognition

  • Application of Image Processing in Agriculture

  • Use of Different Technologies of Image Recognition in Agriculture

  • Image sharpening and restoration

  • Image Retrieval