ML SA 2021 : Application of Machine Learning in Smart Agriculture

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