In Chengdu Tianfu Granary National Modern Agricultural Industrial Park (hereinafter referred to as Tianfu Granary Industrial Park), soil precision sensors, smart agricultural management platforms, and intelligent seedling raising ...... A variety of high-tech means representing the new quality of agricultural productivity continue to join the field work, and "smart agriculture" in the spring ploughing and spring management "show their skills".
Through the introduction of smart agriculture projects such as Sinochem MAP Smart Agriculture Platform and AI Artificial Intelligence Farm, it provides farmers with precision agricultural operation services, improves management efficiency, reduces production costs, and promotes the digital industrialization and industrial digital integration of the entire park. According to Liu Bo, director of the research department of the Management Committee of Chengdu Tianfu Granary National Modern Agricultural Industrial Park, the agricultural mechanization rate and informatization rate of the park have reached 95% and 90% respectively.
Turn on your mobile phone to "patrol the field"
The management of more than 7,000 acres is also easy
More than 7,000 acres! This year, the amount of farmland managed by Wang Lingli, a professional agricultural manager, has hit a new high, but she manages it with ease. ”
The "black technology" in Wang Lingli's mouth refers to satellite remote sensing technology. This technology originated from the Sinochem Agricultural Chongzhou MAP Technical Service Center built in Tianfu Granary Industrial Park.
In the center's smart monitoring room, on the large screen of the digital farmland remote sensing monitoring platform, various data of the wheat field are displayed at all times, and the growth of wheat is clear at a glance. "The height and sparseness of crop growth are not the same, and the wavelengths reflected are different, so we use satellite remote sensing image modeling and analysis to track the abnormal growth of crops in the field and carry out high-precision field inspection guidance. Li Long, a staff member of Sinochem MAP, said.
"It's a good helper for patrolling the field, and you can do it with a mobile phone. While speaking, Li Long simply demonstrated on the mobile phone screen, through the Beidou navigation system for accurate positioning, you can see the situation of the plot where he is more intuitive, the color of the yellow or reddish part, indicating that the production of crops in the location has been affected, and some diseases, insects and weeds may have occurred.
Growers can use remote sensing to see the growth of crops and analyze the causes of impacts. The system can also determine whether it will rain in the next 48 hours within 1×1 km of the plot's location, "which is very helpful for farmers to arrange farm work." ”
Will the cost of agricultural production be too high if such high-tech means as satellite remote sensing are used for farming? According to a person in charge of the enterprise, thanks to the development of the country's aerospace industry, the cost of using satellite images for one square kilometer can be controlled within 10 yuan.
"Growers in the park can use it for free. According to reports, at present, this service has achieved full coverage of 200,000 acres of high-standard farmland in Tianfu Granary Industrial Park.
Equipped with a "digital brain"
AI gives a "reliable" planting plan
Unlike remote sensing field patrols to help field management, AI can also allow people who don't know how to plant to plant good fields.
In the artificial intelligence farm of Tianfu Granary Industrial Park, tomatoes are at a suitable temperature of more than 20 °C controlled by artificial intelligence, stretching vines and absorbing water and fertilizer nutrients. On the other side of the sensor, researchers are using artificial intelligence to "strategize", and "AI tomato" is gathering momentum.
How does artificial intelligence intervene in tomato production? Peeling through the colorful tomato fruits and green vines, you can see that drip arrows are inserted into the tomato planting substrate, and sensors are installed. "According to the data collected by the sensors, the water used for tomato growth and the scientifically proportioned fertilizer calculated by the computer are dripped into the substrate through drip arrows. Zhou Bo, a researcher at the Institute of Urban Agriculture of the Chinese Academy of Agricultural Sciences, said.
"For example, what is the fertilizer ratio in what time period, when to increase light, how to control the temperature, these 'what to do next', AI will give a 'reliable' planting plan. Zhou Bo said that even people who lack experience in greenhouse management can manage tomatoes well here under the guidance of AI. Through this algorithm, this artificial intelligence greenhouse with an area of less than 2 acres can produce 9-10 tons of tomatoes in the semi-annual production season.
The AI agriculture project was introduced and implemented in Tianfu Granary Industrial Park in 2021 and successfully trialed in 2022. In the following years, the AI technology has been iteratively updated, and the algorithm has now supported the planting decisions of off-season crops such as tomatoes and cucumbers grown in greenhouses.
"Dachun production is imminent, and we are about to launch the 'AI Enabling Tianfu Granary Digital Upgrade Plan'. Zhou Bo excitedly told reporters that this year, in the Tianfu Granary Industrial Park, 1,000 acres of experimental fields have been selected and divided into 10 pieces for comparative experiments in this year's "rice season". This marks the official departure of AI agriculture from the laboratory to the field.
Nowadays, with the empowerment of science and technology as the core and the blessing of new quality productivity, the new farmers in Tianfu Granary Industrial Park are "facing the screen and backed by data", and the transformation from "knowing how to farm" to "smart farming" is accelerating.
Chengdu Daily Jinguan News Reporter Su Xinlin Photography Su Xinlin Editor-in-charge Luo Hao Editor Dai Aicen