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Wisdom agriculture achieves leapfrog development is still on "quality"
[China Agricultural Machinery Industry News] "Smart Agriculture" is becoming a tide word, agricultural intelligence has become a new direction of China's modern agricultural development, and smart agriculture has become one of the development paths. However, on October 28, Smart Agriculture released the third quarterly report. The company's operating income in January-September 2016 decreased by 2.19% year-on-year. The company's net profit for the quarter decreased by 234% from the previous quarter. In fact, not only is the profit of this company declining, but many companies engaged in the smart agricultural industry have felt that the development of smart agriculture in China is not smooth.
Wisdom agriculture achieves leapfrog development is still on "quality"
This hot and cold, how to develop wisdom agriculture seems to fall into the "cloud fog."
“The concept of smart agriculture has evolved from the terms of computer agriculture, agriculture (fine agriculture), digital agriculture, intelligent agriculture, etc. Its technical system mainly includes three aspects: agricultural internet of things, agricultural big data and agricultural cloud platform. To achieve leapfrog development, we must work hard on 'quality'.†Recently, in an interview with the Science and Technology Daily reporter, Yang Baozhu, a researcher at the National Agricultural Information Technology Research Center, stressed.
Agricultural Internet of Things must start from scratch
"Since 1994, China's agricultural engineering and science community has begun to study fine agricultural technology in developed countries. Up to now, smart technology and equipment are rapidly integrating into various application fields." On October 28, at the China Development Forum At the 3rd International Symposium on Smart Agriculture Innovation and Development, Wang Haohua, an academician of the Chinese Academy of Engineering, introduced.
"At present, China's agricultural Internet of Things technology is relatively mature. In the past, we needed to import some sensors and equipment, but now the cost-effectiveness of many domestically produced equipment is very high." Yang Baozhu said.
In the production process of traditional agriculture, whether it is the cultivation of crops or the cultivation of aquatic products and livestock, it is difficult to achieve the benefits and benefits by relying on the experience and feelings of farmers, fishermen and fishermen.
Compared with traditional agricultural production, Yang Baozhu said: “The Internet of Things enables the operation of agriculture to be more convenient and scientific through real-time monitoring, tracking and control of the environment, greatly reducing labor costs, improving the output and quality of agricultural products, and thus achieving the goal of increasing farmers’ income. ""
Yang Baozhu further explained that the technology and products of the agricultural Internet of Things are mainly through sensing technology, intelligent technology and network technology to achieve comprehensive sensing, reliable transmission, intelligent processing and automatic control. Sensing technology collects the growth environment and reproductive information of animals and plants; network technology realizes the transmission of information through mobile internet technology; intelligent technology analyzes the growth and environmental conditions of animals and plants; automatic control is based on animals and plants. Growth requires adjustment of the environment to make the environment more suitable for plant and animal growth.
Yang Baozhu appealed that when the agricultural science and technology revolution of wisdom agriculture quietly rises, it is necessary to start from the "head" and do a good job of popularizing and popularizing Internet of Things technology. “Data generates knowledge, knowledge generates wisdom, and agricultural real-time sensing data is the foundation of smart agriculture. Low-cost, easy-to-use and reliable IoT sensing devices and control devices are the key to the widespread application and popularization of smart agriculture.†Yang Baozhu said .
Big data requires both architecture and mass
On August 30, the Ministry of Agriculture issued the “13th Five-Year Plan for National Agricultural and Rural Informatization Developmentâ€, proposing that in the next five years, the application ratio of agricultural Internet of Things and big data will reach 17%. Wang Xiaobing, deputy director of the Department of Market and Economic Information of the Ministry of Agriculture, said that with the vigorous development of the national informationization industry, the spring of agricultural informationization has arrived.
Wen Fujiang, president of Shandong Agricultural University, said that agricultural big data plays a vital role in production, product circulation and management decision-making.
Wen Fujiang believes that the bioinformatics database is an example of a particular problem. Shandong Agricultural University has established more than 4,000 bioinformatics databases including germplasm resources, plant genomes, plant transcriptomes and data volume of about 2TB. Based on this, genes for high agronomic traits such as high yield and high resistance have been located and cloned. A kit for rapid identification of field diseases has been constructed. Currently, 9 databases have been built and 27 softwares have been used online, covering up to 259 species.
"The key to the future of agricultural big data is whether the architecture of big data is standardized, whether the data source is reliable, and whether the massive amount can be guaranteed." Yang Baozhu said, but he found that there are some agricultural big data, or a small amount of data. The purpose of discovering knowledge and wisdom is not achieved; or the amount of data is large enough, but there is a disorderly phenomenon.
Yang Baozhu believes that in the agricultural sector, it is still impossible to implement massive and standardized big data storage like the banking system and the Alibaba shopping system. This is where agriculture is trying to catch up.
Li Daoliang, a professor at China Agricultural University, also believes that in the future, China's agricultural big data should be based on basic research, massive data, and forecasting. The existing technologies are immature, the access of large manufacturers is low, the lack of models, lack of regulation, and lack of policies. It is necessary to jointly improve the agricultural Internet of Things big data and promote agricultural modernization through technology, business model, industry-university-research cooperation.