Shinetech focuses on promoting enterprise innovation by means of IT and has begun to work on agriculture related software customization projects pretty early on. From the Academy of Agricultural Sciences, agricultural product distributors, breeding enterprises to farmers in Australia and the United States, we have helped our customers achieve innovation in agricultural technology and business practice and accumulated rich experience in IoT, the e-commerce of agricultural products, agricultural insurance, farming/aquaculture and other fields.
The emergence of big data and IoT technologies has greatly promoted the modernization of farming and breeding and improved the quality and efficiency. Shinetech has entered the IoT field as early as 2011 and trained our own RFID resources, and then successfully completed related projects of different sizes in a number of fields. In 2015, we used IoT technology to develop a set of custom software systems that enable intelligent monitoring and feeding for a fishery enterprise in Wuhan, which aroused great repercussion in the industry, as a result, the competitiveness of the enterprise has been enhanced through innovation and its sales and profits has been sharply increased. This even attracted the attention of and later was covered by Xinhua News Agency.
Intelligent Farming System
Australia, sometimes also known as "the country which rides on the back of sheep", the agriculture and animal husbandry is highly developed, its farm scale can range from small fields up to even several thousand hectares. High mechanization in the farming brings convenience, but also management difficulties with the large number of mechanical equipment and farm lands. Farmer's use of IoT (Internet of Things) could further upgrade the mechanized planting to intelligent planting, with the help of farm management Informatization.
Aquaculture IoT System
The output of China’s aquatic products account for about two thirds of the world’s total, however, the vast majority of acquaculture still remain in traditional blind breeding condition, leading to serious pollution of aquatic products, and the quality is difficult to improve, moreover, the lack of information about market changes also makes it difficult for farmers to obtain expected revenue. The customer aimed to change this situation by means of intelligent and automated farming.