A Persian leiwo released the first smart agricultural solutions
In October 26th held the 2016 China International Agricultural Machinery Exhibition, the release site, with Italy Bologna leiwo a Persian University, South China Agricultural University, China Agricultural University, IBM, and Tianjin Yi Tian network science and technology limited company, three together the six parties signed the "ray Wo A Bos wisdom agriculture 2025 strategic cooperation agreement.
Conference, Lovol executive deputy general manager and general manager Wang Yurong, the Persian leiwo introduced a Persian leiwo Internet plus agricultural layout and future strategic planning. Apos Europe CEO Beddoes Te introduced the iFarming Apos wisdom agriculture solution, and elaborated the four main concerns of iFarming, namely green, intelligence, technology and future agriculture.
The wisdom of agricultural solutions as the first domestic agricultural machinery enterprises launched, iFarming first proposed the concept of "intelligent management" when connecting crop production cycle, from tillage, sowing, planting, plant protection, harvest to dry grain storage, information technology and agricultural production of relying on the Internet, networking and big implementation of data integration and interconnection, through farmland measurement, location information acquisition and intelligent agricultural machinery to provide scientific fertilization, sowing, spraying, irrigation management and business decision for agricultural production, in order to improve the system efficiency, to improve productivity and agronomic performance while minimizing cost, reduce waste. To improve the overall production efficiency, accelerate the upgrading of agricultural industrialization.
In addition to the seamless whole agricultural production cycle to provide comprehensive coverage of agricultural information service, to meet the needs of large-scale land operation and new agricultural business entities, iFarming will also develop more farm management system, the system can check through software, editing, management, analysis and use of network equipment and other sources all the data such as farm land intensive and meticulous farming, data structure and data, crop water data, yield data, and agricultural performance data and operational data, draw and generate the entire production area reports, charts and maps, by the year after year data accumulation, analysis, planning, reporting, decision-making, optimize business proposal and control the whole process of agricultural production, fine operation.
Agricultural equipment industry as a Persian leiwo leading brand, has always been committed to the development of modern agriculture. In recent years, in many areas of the market for many years to maintain the leading domestic agricultural machinery industry based on agricultural adaptation "supply side reform trend, actively explore the industry + Internet, at the same time the largest advantage of agricultural equipment users based on the continuous innovation of business model, the equipment, operation, data, farming farmland management elements intelligent interconnection, build a user centered agricultural intelligent technology solutions, and to develop a strategic wisdom agriculture 2025 Persian leiwo.
According to the strategy, the future will focus on a Persian leiwo excellent science and technology, industry leadership and wisdom agriculture, deepening cooperation in the global scientific research and innovation, promote mutual exchanges, progress of technology and market application of global scientific research activities and scientific and technological personnel, especially long-term cooperation with domestic and foreign leading research institutions and partners, and explore together the innovation of agricultural technology, continue to make new breakthroughs. And the University of Bologna, IBM "the six party" signed a strategic cooperation, also created and led the new mode of agricultural industry cooperation, make a strategic wisdom agriculture 2025 Persian leiwo based on a high starting point.
