Application of Machine Learning in Smart Agriculture

ML_SA 2021


Artificial Intelligence



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