Nowadays, agricultural industry was forced to face several problems, such as lack of manpower, insufficient manual recording accuracy, difficulty in monitoring crop physiological mechanisms. To solving those technical problems, we propose this project developing biological monitoring technology and service systems of production and marketing for agriculture. Each development was based on Taiwanese agricultural and digital technology, such as Internet of Things, intelligent equipment, big data analysis and intelligent sensing system, to stabilize production quality and enhance the brand value of Taiwan's agricultural products.
In this project, the technical development is divided into four major areas, including agricultural UAV application system, big data analysis, expert system, and non-destructive detection technology. In the field of UAV application, drones were developing for crop monitoring and agricultural spraying, which are applied to crops such as rice, pineapple, head lettuce and broccoli. To stabilize the quality of agricultural products, the team introduce non-destructive detection technology. For instance, hyperspectral imaging techniques were helping to early detecting Fusarium wilt on Phalaenopsis and providing quality inspection for king oyster mushroom manufacturers before shipment. Two expert systems, “The expert system for pests and diseases management on agricultural” and “Field disease early warning microclimate composite module”, can simplify the operation process and time of field disease detection to achieve early diagnosis of diseases in the agricultural industry. The Intelligent image monitoring system is currently used to automatic identified pests in the greenhouse and monitor broiler house for flat feeding in order to reduce the burden on staff and provide managers with warning functions. In addition, the artificial intelligence computing capabilities work with the Internet of Things to improve the accuracy and immediacy of agricultural information broadcast services.
Smart farming is a management concept focused on providing the agricultural industry with the infrastructure to leverage advanced technology – including big data, the cloud and the internet of things (IoT) – for tracking, monitoring, automating and analyzing operations. This project promotes the prediction rate of disease diagnosis up to 60%, also increase crop productivity and reduce production costs by 20%.