Webology · 2021 · 14 citations · 0 references
Artificial IntelligencePrecision AgricultureEngineeringMachine LearningAgricultural EconomicsAgricultural RoboticsMultidisciplinary AiRecent ScopeIntelligent SystemsAgricultural CyberneticsData ScienceFood SystemsPublic HealthFood Processing AutomationAgricultural MachineryMachine VisionFourth Industrial RevolutionAi IntegrationFood Production IndustryDeep LearningApplied Artificial IntelligenceComputer VisionAutomationIndustrial Artificial IntelligenceFood IndustryAi-based Process OptimizationTechnologyAgri-food Systems
Artificial intelligence and computer vision are increasingly applied in the agri‑food sector to analyze big data, monitor supply chains, improve operations, and drive sustainability, thereby fueling the Fourth Industrial Revolution. This research aims to develop a state‑of‑the‑art AI model that assists farmers in food‑processing and agriculture. The authors construct a model that integrates AI, computer vision, machine learning, and deep‑learning techniques to support farmers. The study identifies machine‑learning–derived sustainability concepts and recommends real‑time monitoring, policy, and investment strategies for the agri‑tech industry.
In today's situation, Artificial intelligence and computer vision collectively join together to analyze the big data obtained from predicted models. The role of AI in the agri-based food industry helps the stakeholders to access and monitor the supply chain. The phenomenon of applying AI and computer vision in the food industry would improve the entire operations. This research paper tries to provide an assisting model for farmers in food-processing and agriculture through the state-of-the-art method. Several concepts related to sustainability in food processing have been estimated through machine learning, and the deep learning model as a worldwide concept. The demand for the usage of AI and computer vision in the Ag-TECH industry has increased which impacts sustainable food production to feed the future. Certain implications have been suggested for real-time monitoring of the farming process, politics behind sustainable food production, and investment which is the main game-player in the present situation. The 4th Industrial Revolution [IR-4.0] was ushered in by the deployment of computer vision and AI in the food business, with computer vision robotics playing a crucial role in ensuring sustainable food production.