Study Title
Computer Vision and Machine Learning Based Approaches for Food Security: A Review
Principal Investigator
Shivani Sood, Harjeet Singh
Affiliation
Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
Start Date
Not specified
End Date
Not specified
Study Objective
To explore the applications of computer vision (CV) and machine learning (ML) techniques for improving food security, addressing challenges such as food shortages, quality reduction, wastage, and loss of food products.
Short Abstract
This review addresses various computer vision and machine learning-based techniques applied in the food production and agriculture field to combat food security issues. The study focuses on image processing-based applications such as fruit sorting, disease prediction, and soil quality assessment, concluding that deep learning (DL) approaches provide the best results, particularly for image processing tasks.
Study Design
Systematic review
Population
Global agriculture and food systems
Sample Size
Not applicable
Inclusion Criteria
Studies focused on the use of machine learning and computer vision for food security, including applications like disease detection, fruit sorting, soil quality measurement, etc.
Exclusion Criteria
Not specified
Intervention/Exposure
Machine learning and computer vision techniques, including deep learning for image processing applications in food security
Outcome Measures
Improved food production, disease prediction, better agricultural decision-making, and food security
Funding Source
Not specified
Collaborating Institutions
Chitkara University Institute of Engineering and Technology, Chitkara University
Ethics Approval
Not specified
Publication Status
Published in Multimedia Tools and Applications (2021).
Keywords
Food security, deep learning, computer vision, machine learning, smart farming
Data Collection Methods
Systematic review of machine learning and computer vision applications in food security
Primary Data Availability
Not applicable
Contact Information
Harjeet Singh: