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Core Viewpoint - The article highlights the innovative efforts in smart agriculture led by a research team at Shihezi University, focusing on the integration of technology and agricultural practices to enhance productivity and disease management in greenhouse farming [1][4]. Group 1: Research and Development - The research team is working on upgrading greenhouse hardware for automated management, aiming to provide precise and convenient management solutions for agricultural workers [1]. - The team has developed a horticultural crop quality safety decision cloud platform to promote sustainable production and precise crop protection [1][2]. - The research path includes understanding disease epidemiology, reviewing previous studies, identifying gaps, and designing experiments to build predictive models [2]. Group 2: Practical Applications - The team is focused on a project that aims to intelligently control the environment in greenhouses and prevent disease, addressing issues like rough environmental control and delayed disease warnings [4]. - They have created a greenhouse environment simulation model that integrates weather forecast data and greenhouse structural parameters to predict environmental changes and disease risks [4]. - The envisioned application allows users to input basic information about their greenhouse to receive daily environmental predictions and agricultural advice via a mobile app, making it a cost-effective solution [4]. Group 3: Educational Impact - The research leader emphasizes the importance of fostering independent thinking and execution skills among students, encouraging them to devise solutions to problems rather than relying solely on guidance [5]. - The goal is to see students confidently present their research findings at academic conferences, symbolizing the successful transmission of knowledge and ideas [5]. - The short-term plan includes implementing the disease warning system and smart management system in 2 to 3 production areas or demonstration gardens [5].