A Comparative Analysis of Fruits and Vegetables Quality Using AI-Assisted Technologies: A Review

  • Umair Maqsood Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
  • Ahmed Abbas Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
  • Saif Ur Rehman Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
  • Afeefa Asghar Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
  • Bushra Kanwal Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
  • Rana Saud Shoukat Pir Mehr Ali Shah Arid Agriculture University Rawalpindi, Pakistan
Keywords: Computer Vision, Advanced Process Control, Artificial Neuronal Networking, Fuzzy Logic, Autonomous Navigation, Artificial Intelligence, Image Processing

Abstract

Food quality is a major issue for society since it is a crucial guarantee not only for human health but also for society's progress and stability. The planting, harvesting, and storage through preparation and consumption, all aspects of food processing should be considered. One of the most important methods for managing fruit and vegetable quality is by using AI food quality evaluation techniques. Emerging technologies such as computer vision and artificial intelligence (AI) are thought to profit from the availability of massive data for active training and the generation of intelligent and operational equipment in real-time and predictably. The review helps provide an overview of leading-edge artificial intelligence and computer vision technologies that can help farmers in agriculture and food processing. In addition, the review presents some implications for the challenges and recommendations regarding the inclusion of technologies in real-time agriculture, policies, and substantial global investments. In addition, the fourth industrial revolution technologies of profound learning and computer vision robotics which are key to sustainability for food production is also addressed in it.

Published
2023-01-10