A Literature Review on Smart Greenhouse and AI: Paradigms, Opportunities and Open Issues
摘要
Controlled crop cultivation within smart greenhouses has become integral to smart agriculture. This system has been made more efficient, productive, and sustainable by applying various algorithms of machine learning that facilitate decision-making by farmers, this paper provides a short literature review of using machine learning applications in smart greenhouses, focusing on three important aspects: disease detection, climate control inside the greenhouse and robotic harvesting, to highlight the latest advances, challenges, and opportunities in this growing field.