Smart Spring Farming: New Quality Agricultural Productivity Accelerates

Deep News
13小時前

As spring returns to the land, the farming season urges action. From "cloud farming" on the black soil of Northeast China to precise management along the Yellow Sea coast, from intelligent rice seedling cultivation in southern paddies to the machinery fleets on the Huang-Huai-Hai Plain, digital and smart technologies alongside agricultural machinery are comprehensively penetrating all aspects of spring farming, laying a solid foundation for grain abundance. This not only reflects the implementation of national smart agriculture policies set for 2026 but also represents a vivid practical application of new quality agricultural productivity in the fields, outlining a solid path for China's agricultural modernization transformation.

Technological assistance is making farming smarter for farmers. Smart agriculture is transforming spring farming from relying on experience and weather to a modern approach based on data and precise strategies. A key policy document for 2026 clearly states the need to "develop new quality agricultural productivity tailored to local conditions and promote the integration of artificial intelligence with agricultural development." This directive is being actively implemented on the front lines of spring farming in both northeastern and southern regions.

Despite the lingering spring chill, the village committee office in Shuguang Village, Tangwang Korean Ethnic Township, Tangyuan County, Jiamusi City, Heilongjiang Province, is bustling with activity. As the village Party secretary spoke, Chen Haihua, an expert from the Jiamusu National Agricultural High-tech Zone, began an online科普课 on "cloud farming," expressing admiration for the features of a local agricultural platform that can even monitor field conditions. On a large electronic screen, a "digital farmland map" displayed real-time data. Chen explained that the platform, supported by sophisticated meteorological models, predicted a higher accumulated temperature for the year compared to the previous year, allowing precise forecasts of rainfall and drought conditions. Addressing villagers' questions about seed selection, he demonstrated an "intelligent seed selection" module that instantly recommended suitable varieties and estimated yields based on input criteria like disease resistance and sowing time.

The reach of smart technology extends across the north-south divide, making significant strides in the seedling cultivation stage. At a modern seedling base in Xiushan Town, Taojiang County, Yiyang City, Hunan Province, an unmanned silver-gray transport vehicle arrived precisely at the designated spot at the greenhouse entrance. Its body lowered slightly, smoothly sliding out trays containing hundreds of seedling plates for accurate transfer to receiving racks inside. The introduction of this autonomous transport vehicle aims to create a fully intelligent closed-loop system from seed to granary, according to a manager from the operating company. He noted that the vehicle's transfer efficiency equals that of over a dozen workers, effectively solving labor shortage issues.

If smart technology is the "brain" of spring farming, then agricultural machinery is its "muscle and bones." National development guidelines explicitly call for high-quality development actions for agricultural equipment to integrate good fields, seeds, machinery, and methods for synergistic gains. These policy requirements are moving from text to the fields of spring farming, translating into tangible production efficiency.

On a 12,000-mu potato planting base in Liuwang Town, Qingdao West Coast New Area, integrated planters equipped with BeiDou Navigation Satellite System traverse the fields. Operating based on pre-set programs and high-precision satellite positioning, these machines seamlessly perform trenching, fertilizing, film laying, and sowing along designated routes. A local grower contrasted the back-breaking labor of manual planting, which covered only two mu per day, with the nearly 20-fold efficiency increase provided by the smart planters, expressing clear satisfaction. Currently, in Qingdao, 16,000 sets of intelligent agricultural machinery are deployed across fertile land. Plant protection drones apply pesticides at low altitudes, integrated water-fertilizer systems deliver nutrients precisely, and smart machinery interconnects with field weather stations and pest monitoring equipment, boosting production efficiency by over 15% compared to traditional methods.

As the machinery hum continues in Qingdao, the spring farming symphony has already begun on the Huang-Huai-Hai Plain. In Liyantou Village, Tandian Township, Huangchuan County, Henan Province, preparations are underway for early ratoon rice seedling cultivation and wheat plant protection using drones, with large-scale mechanized rice transplanting scheduled to start in early April. Faced with the challenges of rural youth migration and labor shortages for transplanting, a local agricultural machinery cooperative has developed a fully mechanized service model covering seedling cultivation, transplanting, management, and harvesting. By managing 10,000 mu of land with scaled, intelligent machinery services, the cooperative is achieving remarkable speed in spring farming operations.

This year's spring farming season highlights smart agriculture as a distinctive feature across the fields. It not only addresses the pain points and difficulties of traditional spring farming but also drives the transition of agriculture from labor-intensive to technology-intensive, providing robust technological support for ensuring national food security and promoting rural revitalization.

免責聲明:投資有風險,本文並非投資建議,以上內容不應被視為任何金融產品的購買或出售要約、建議或邀請,作者或其他用戶的任何相關討論、評論或帖子也不應被視為此類內容。本文僅供一般參考,不考慮您的個人投資目標、財務狀況或需求。TTM對信息的準確性和完整性不承擔任何責任或保證,投資者應自行研究並在投資前尋求專業建議。

熱議股票

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10