The article is from 35 Dou WeChat*** Author: Zhang Yujie.
Recently, the 2023 International Future Agri-Food Top 100 Conference was successfully held. More than 1,000 entrepreneurs, investors and scientists in the field of agricultural science and technology innovation participated in the conference, bringing together new forces in the field of agricultural industry venture capital and promoting the construction of a new ecology of industrial venture capital.
With the key theme of "scientific and technological innovation, international cooperation, and regional industrial agglomeration", the conference carried out a series of activities such as the exchange activities of the guest of honor, the collection of fresh science and technology, the opening ceremony, the special forum, the award dinner, the special activities of the project roadshow, the government-enterprise exchange meeting, and the visit and inspection. Among them, the Smart Agriculture Forum focuses on the smart agriculture industry, how to use modern information technology to improve agricultural production efficiency and sustainability, and realize agricultural modernization.
Zha Heine, the founder of Yigang Hi-Tech, attended the event and gave a keynote speech on "Efficient and Precise Management of Field Crop Fertilizer, Water and Medicine", which was compiled according to relevant sharing.
The founder of Yigang Hi-Tech, Cha Heine, shared the theme).
Software and hardware go hand in hand, and develop an intelligent and precise management system around staple foods
First of all, I would like to introduce to you the focus and positioning of Yigang Hi-Tech, which pays more attention to staple crops, including rice in the south, wheat and corn systems in the north. In addition, the company has also operated thousands of acres of rice, wheat and corn planting bases, and has always done basic work for data production.
Founded in July 2017 and headquartered in Anhui Province, Yigang Hi-Tech has 5 wholly-owned or holding subsidiaries in Beijing and other places, and is an information service company integrating R&D, implementation, operation and maintenance, developing a full range of solutions in the fields of smart agriculture, forestry, animal husbandry and fishery, and digital villages. We have a total of 109 employees, most of whom are from the field of agronomy, including experts and R&D teams in the field of smart agriculture at home and abroad.
At this stage, China's water and fertilizer use efficiency is low, far lower than the international advanced level. China's nitrogen fertilizer use efficiency is 40%, and the phosphate fertilizer use efficiency is only 37%, while the nitrogen fertilizer use efficiency in North America, including Western Europe, can reach 66%.
However, the amount of fertilizer and irrigation water used in China's farmland is in the forefront of the world, far exceeding the average level of Europe, the United States and the world, and the excessive fertilizer and water input not only does not increase production, but also leads to severe ecological and environmental problems, and aggravates the degradation of soil acidification, desertification, and compaction. Therefore, how to do a good job in the efficient use of fertilizer and water is one of the key issues that the smart agriculture track pays attention to.
At present, the system architecture we have developed includes front-end perception, intermediate data application and construction model and back-end application, of which the back-end is combined with intelligent equipment, especially connected with intelligent fertilization and irrigation equipment, aiming to achieve automatic field management, and data and algorithms are the more important indicators in the system.
1. Monitoring data. At this stage, we used the integrated monitoring technology of the sky and ground to obtain a large amount of UAV data, and then trained to make a series of crop models to realize the inversion of the leaf area index. Among them, the seedling growth monitoring model is to judge the crop growth according to the empirical data of different crops under different circumstances.
2. Optimization algorithm. At this stage, the optimization is mainly carried out according to the local crop area, and on this basis, the leaf area growth analysis is carried out, and the action of nutrient regulation is increased during fertilization. According to the feedback data, the model can achieve a 9-11% increase in yield, helping farmers increase their income.
In addition, we have developed a series of platforms around remote sensing monitoring technology. Among them,Remote sensing algorithm platformIt is a data product that uses the artificial intelligence algorithm library independently developed by satellite remote sensing to provide cost-effective accurate identification of crop types and continuous monitoring of the growth process for agricultural production.
The platform provides information such as the automation (correction, calculation, and release) of image data standard products, the inversion of agricultural data products, classification and information mining. It supports real-time call and processing of multi-temporal satellite image data such as Landsat series, Sentinel series, and high-resolution satellite image data at home and abroad.
In the fields of wide-area planting management, rural financial risk control, agricultural insurance, etc., we assist customers to carry out data-based planting resources and normalized crop growth monitoring, meteorological monitoring, disaster analysis and other services, so that agricultural resources and crop growth can be grasped in a timely manner without the need for remote sensing professionals, making agricultural production more controllable.
In terms of hardware equipment, we mainly focus on the development of multispectral, crop growth sensors, etc., so sensors, robots, drones, etc. are all in our scope.
In terms of sensors,According to market research data, there is a large demand for crop growth sensors at this stage, but at present, they are mainly imported and expensive. Based on this, we studied the reflectivity of non-band crops around plant SPAD values and other indicators, and independently developed the CropInfo crop growth monitor, which realized the acquisition of 6-band crop reflectivity, and built a calculation model of chlorophyll, leaf area, biomass, nitrogen uptake and crop growth index.
In addition, we have also developed a soil moisture sensor soilinfo with China Agricultural University, which also won the first prize of the Beijing Innovation and Entrepreneurship Competition, mainly using double high-frequency tuning loops, time division multi-channel detection and redundancy circuits to solve the problems of "inaccurate measurement", "multi-channel inconsistency" and "data drift", and through integrated structural design, mold injection molding and waterproof technology, and original batch debugging methods, the product market is currently very good.
In terms of bots,We built a set of phenotypic multi-axis robots in the field. Due to the serious stacking of crop leaves and high canopy density, ordinary cameras and drones cannot break through the obstruction to observe the morphology of leaves and panicles at close range. The robot can realize 360 degrees, XYZ three-axis free movement, and can insert the sensor into the rice to achieve full data collection. At the same time, it can also be equipped with image and spectral sensors to realize in-situ monitoring of leaf, canopy and panicle data, and realize the monitoring of phenological period.
In addition to independent research and development of sensors and robots, we have also built a management algorithm for the whole process of nutrient resources, focusing on crop genetics, meteorology, soil and field management, building an algorithm based on crop recommendation fertilization, and realizing the optimization of nutrient rules through marginal benefit data, fertilization cost data and seedling raising cost data.
In terms of unmanned R&D,We have built an unmanned tractor + rotary tiller to realize the unmanned operation of rotary tillage. Firstly, the remote sensing technology was used to realize the growth detection, and the target yield of each rice pond was determined based on the soil and meteorological conditions, and then the fertilizer amount of each plot was calculated according to the above data, and finally the yield monitoring of each plot was realized by using an automatic device. According to the data, the effective operating area of the program is not less than 90%, the operation efficiency is not less than 12 acres of hours, and the operating depth is not less than 12 cm, which is required to meet the operation quality requirements.
Through data monitoring, the above-mentioned series of intelligent and precise management systems have increased the output of staple grains that Yigang Hi-Tech is concerned about by 7, reduced the labor cost of fertilization by 50, saved the amount of fertilizer by 20, and helped farmers increase their income by more than 2,000 yuan per hectare.
Smart agriculture is difficult and difficult, and Yigang Hi-Tech has been on the road
Today I would like to share with you three of our success stories. One isWe have made a rice wisdom brain in Northeast China, by decomposing the entire fertilization period of rice, the temperature of this year, and doing the design of nutrients and density before production, so as to realize automatic fertilization and quality monitoring of rice in production. At the same time, after transplanting, drones are used for quality monitoring, and satellite remote sensing is used in the middle of crop growth, so as to achieve 5-7 days of growth nutrition diagnosis, and combined with intelligent equipment, such as intelligent cultivated land leveling equipment, intelligent mixing equipment, intelligent transplanting and fertilization equipment, unmanned aerial vehicles, intelligent irrigation equipment and intelligent harvesting equipment, etc., to achieve intelligent crop management.
The second isWheat planting case in Ningjin County, Shandong. The demonstration area has a total base of 10,000 acres, and we have sorted out the wheat and corn areas through digital and standardized data research and analysis, and determined that the industry is the core and followedFertilizer by production and seed by productionThe overall architecture realizes the integration of information technology with agricultural machinery and agricultural technology platform and modern agriculture. Through intelligent tests, the average yield of the precision management system of winter wheat in this producing area is 90 t ha-1, with an average yield increase of 71%, increase in earnings by 202%, respectively, to increase the partial productivity and water use efficiency of nitrogen fertilizer by 356% and 28%, optimizing the production system while reducing the active nitrogen emission intensity by 43%.
The third isDigital agriculture technology project in Wuhe County, Anhui Province. In accordance with the idea of "Internet of Things + Artificial Intelligence + 5G", the project integrates the digital perception and control technology system and business application system of farmland planting and breeding production, realizes automatic perception, monitoring and early warning, remote diagnosis, command and decision-making, intelligent control and traceability and supervision of agricultural product quality and safety information, and forms a digital agricultural application model with the integration of sky and ground and coordination of measurement, control and management.
In addition to the above three cases, we have also conducted trials in other regions around Datian smart agriculture, and have rich experience in high-standard farmland smart agriculture projects, covering multiple provinces and cities to provide services, including 9 provinces such as Anhui Province, Hebei Province, Jiangxi Province, and Yunnan Province. And through years of accumulation, it has formed the construction coverage capacity of various types of smart agriculture.
Finally, Yigang Hi-Tech is striving to become a leading enterprise in agricultural informatization that "understands agriculture, serves farmers, and helps rural areas", and "let the world have no difficult fields" is our vision. The journey of smart agriculture is not achieved overnight, it is an area that requires our joint efforts, continuous exploration and practice.