AI is steady progress in agriculture, we began to enter the fields from the idea. Article on AI application in agriculture were combed, and future prospects.
Over the past year, "AI +" has been deep into all aspects of Chinese industries, from industrial quality control to Smart City, the fourth industrial revolution began to show more and more clear look.
However, if we look to throw outside the city ring road, on the vast land of China, AI whether it can take root into the soil in agriculture, so that the continuation of the first millennium industry to a higher level of industrialization?
The answer is yes.
2019, we see computer vision, deep learning, edge computing, intelligent robots and other AI techniques can be used to improve the productivity of agriculture, from the highly information-oriented farm geese plant, the smart sorting picking robot, with a cutting edge Technology context and perspective transformation of the agricultural industry chain, AI has begun to output real value.
But we also found that agricultural want to completely undertake energy live AI technology, provided that the baptism of industrialization but also to withstand the secondary industry, and the socialization process to protect the tertiary industry. No industrial base such progressive layers, "AI + agriculture" beautiful vision, like a cloud had not been thorough roots, had vanished.
How smart showers, delivered to 9.6 million square kilometers of land, in 2019 agricultural AI, it is engaged in a nourishing sowing the future.
Across the sand sea: Agriculture intelligent trilogy
BIS Research recently released "2019--2024 global agricultural markets artificial intelligence (AI) Analysis and Forecast" report, the latest market intelligence, market scale agriculture AI estimated at $ 578 million in 2019, and to 28.38 % CAGR growth in 2024 is expected to reach $ 2.0157 billion. Intelligent agriculture under the demand-driven, want to undertake the opportunity to live in this era, but not easy to imagine.
The core reason is the nature of the road as the first AI agriculture industry, and other good basis for the modernization of secondary and tertiary industries are quite different.
So in this article, perhaps we can put it another way, to return to the origin of the problem, to ask the essential Housewives - today's agricultural industry chain urgent desire from a complex formula of AI, look What solution to the problem of the times?
1. The quality, efficiency
In the past few years, the transition from labor-intensive industry to become the main theme of Chinese agriculture. The main incentives that led to this change: low grain yields, the family-run dispersed as the main mode of production, more and more young people opt out "farmer" in the profession, especially the big environmentalists, industry concentration policy, etc. under the influence of the trend to artificial intelligence machines instead of complete agricultural production, has become the 2019 and future years keywords.
2. Technology Promotion
To solve a problem, it will naturally leads to the second question --AI high technical threshold of agriculture, while China's long-term policy-led peasant economy and science and technology promotion model, let the transformation of the initial cost, security and other issues, become factors hindering agriculture intelligent, large-scale management.
Although some of the previously Robotics and Intelligent algorithms allow some of the production process easier, but small farmers in our country accounted for more than 80% of years of education of the agricultural population is also lower than 7.5 years, most of the lack of effective operation, understanding related technology expertise, will also affect the AI achievements into practical productive forces.
3. sales fault
Standardization and modernization of the above-mentioned production side, even with government subsidies, finance, insurance and other mechanisms, high input will still be reflected in the final prices of agricultural products in the short term, the price of pork this year soaring, even with beef and mutton, eggs and other livestock products prices rise to varying degrees, and even a certain time fruit also allow consumers no Fu Xiaoshou, "price low farmers, high prices hurt people," the production and marketing of faults, also shows the need for urban agriculture into the digital economy.
So in 2019, we see that AI applications in agriculture, began to bid farewell to "XX pig" tree typical of this demonstration project, it is no longer a single automation equipment upgrade, but stretched out to deeper soil layers dense root system.
2019: Agricultural AI solved the numerous road complex and comprehensive topic
Specific to the changes in the industry in 2019, we can see more clearly the logical extension of three: First, agricultural applications of artificial intelligence approach to integration, integration.
Especially reflected in production, if 2017--2018 years AI into the fields of the experimental stage, then the information can be seen in 2019, artificial intelligence and depth of cross-border integration programs in agriculture are being bred out.
From the edge of the deployment have the computing power of multiple sensors to visual perception, language reading application, logical reasoning and other algorithms, as well as human-machine hybrid collaboration, intelligent decision-making giant group, AI agriculture began to move towards a comprehensive transformation from a single point of operation door.
Agricultural equipment such as a manufacturer of Yunnan, on the smart device side edge of the platform, with cloud services training data, and then sent to the production equipment on a vertical algorithm model parameters direct the terminal to achieve self-regulation of the job. The set of AI + IoT solutions, production quality already reached the level of mid-level master.
In addition, artificial intelligence algorithms in the field of agriculture accuracy and practicality to an even higher standard of value. 2019, beginning from the stereotype of the machine to identify the laboratory, and gradually overcome the different regions, different types of problems differentiated agricultural products, further escalation on the applicability and accuracy, reducing recognition error, began delivering reliable industrial value for the farmer groups.
For example, a group on cooperation with the AI technology companies, by providing a dedicated bracket and shooting equipment in the greenhouse, to automatically identify the maturity of agricultural products, computing environment most suitable for the growth of crops, pest identification of infection, thus promoting the intelligent robot sorting and reduce losses caused by unexpected situations.
In Hainan Island, hundreds of farms has been applied on the wisdom of the farm management system, intelligent monitoring based on things; in Xinjiang, a remote control unmanned row cotton picker machine harvest, an hour harvest 60 acres, compared with manual picking improve the efficiency of cotton thousandfold; in Inner Mongolia, a herdsman of yaks 300 are installed on the mobile device 5G, waits to achieve "home cattle" ...... reduce production costs by a machine, no longer just a red-headed or slogan on the news release, but the real story is happening on the land.
Another interesting change is that the traditional executive-led system of agricultural science and technology, government and enterprises gradually evolved to school "Trinity" approach. Over the past accordance with the "province - city - county - village" level step by step to promote science and technology service network, it is accompanied by strong alliance between technology and agriculture giant Internet companies, showing the agricultural policy, research and innovation, technology promotion three the new format closely united.
Certain brain agriculture and agricultural groups, local governments and other cooperative news after another in the past year, the agricultural sector of AI-as-a-service "AI service" start-up companies is gradually increasing.
For example, a financial institution will collect data through multi-dimensional online households, the use of artificial intelligence model to analyze the speedy completion of a credit score of pig farmers, thereby increasing farmers' access to finance and to reduce financing costs, to help solve the "pig cycle" problem.
On the one hand, the actual needs of farmers can be met more targeted, so that innovation and technological achievements into practical productive forces can. At the same time, vigorously promote social forces, but also to agricultural science and technology to promote the effective supply of funds to ease the financial pressure levels, while also reducing their own science and technology R & D costs and the difficulty of promotion, to further expand the range of technical applications.
Overall, this relatively mature, complex, covering a wide range of innovative applications of science and technology is expected to become a big boost agricultural AI rapid fall in the next few years.
To oasis: the other side of AI Agriculture
To "Agriculture AI" of 2019 papers make "A", it is a matter of course. The problem is that intelligent network transformation has just begun revealing the synergy of dawn start, it also means that you want to enter the era of precision agriculture, AI there will be more challenges waiting topic.
For example, coverage of agriculture AIoT network remains to be improved. AI innovations previously mentioned, are based on village-level information service network, especially in agriculture and improvement of Things cloud computing can provide decision support data processing and real-time response.
According to statistics, China's Internet penetration rate in rural areas was 36.5 percent, only half of the urban areas, AI want to put down roots on 9.6 million square kilometers of land, you first need to solve the "shortage" disease data, which is probably also depends on the new generation Internet and IoT deployments in full swing.
At the same time, China's science and technology enterprises in-depth in the agricultural sector, currently still in the phase of transformation and algorithm enabling infrastructure, the future will be good quality, valuable agricultural and open source data set collected out, I am afraid agricultural AI Progress faster cure.
In addition, the exclusive smart chip or more a lack of agricultural equipment. At present, most AI applications are based on general-purpose chip, but with a high degree of standardization of the plant, different urban environment, agriculture smart devices will face complex production scenes, changing climate and other environmental impact, such chips in the environment poor fields are prone to damage, thereby affecting the reliability of the intelligent application of agricultural machinery, agricultural demand and the current reverse influence to promote the semiconductor industry chain is also slightly less.
On the services side, the part facing family farmers use artificial intelligence willingness and ability is not enough, agricultural finance credit ,, wind farm planting and market branding and other issues, but also authorities or social enterprises to use artificial intelligence to establish vertical industry forecasting model to guide agricultural production and help the body to dynamically adjust production activities. How to provide such B2B, B2C solutions help service providers to give support to agriculture has become until the AI to answer a multiple choice.
Overall, these historical issues both in 2019, and it is a gift from the future.
2017, in the "new generation of artificial intelligence development plan" put forward to promote intelligent upgrade agriculture, the establishment of a typical agricultural intelligent decision data analysis system, to carry out intelligent integration demonstration farms, intelligent plant factory, workshop and so on and so intelligent processing of agricultural products initiatives.
Today, artificial intelligence has been fully blossom in the fields, get rid of the inherent complexity of agriculture, as well as various technical constraints landing, and encouraged a large number of AI oasis, gave birth to a lot of good to solve the case.
Spring harvest winter provisions, AI wrote in that year, and it is this land of hope and affection.
