Digital intelligence technology is becoming a crucial driving force for social progress and economic development. In February 2025, Gansu Province issued the "Action Plan for Building a National Leading Base for Modern Cold and Arid Characteristic Agriculture," promoting six major projects to drive the transformation and upgrading of modern cold and arid characteristic agriculture toward high yield, intensive, high-quality, green, and intelligent development. Promoting the deep integration of digital intelligence technology with modern cold and arid characteristic agriculture will help address resource constraints in cold and arid agriculture, unleash the potential of characteristic industries, and support agricultural modernization and rural revitalization.

**Building a Digital Infrastructure System Adapted to Cold and Arid Conditions**

First, strengthen digital infrastructure construction. Accelerate 5G and fiber broadband construction in rural areas, improve network coverage and signal strength in characteristic crop growing areas; prioritize automation in production processes and digital transformation of cold chain logistics. Second, accelerate precise research and development of new technologies and specialized equipment for cold and arid conditions. Focus on overcoming key technologies such as stress-resistant breeding, intelligent water conservation, saline-alkali land improvement, and green pest control; develop key equipment including low-temperature resistant drone batteries, specialized plastic film recovery equipment, and wind-sand resistant field monitoring cameras to enhance equipment stability and precision under extreme climate conditions. Third, establish equipment maintenance and sharing mechanisms. Accelerate the promotion and application of specialized technologies, form digital agricultural machinery service teams equipped with professional technical personnel to provide services to farmers; establish equipment sharing platforms, integrate intelligent agricultural machinery resources within counties to achieve cross-township scheduling and improve equipment utilization rates; implement equipment leasing models to reduce farmers' one-time investment pressure.

**Strengthening Technological Innovation for Cold and Arid Scenarios**

First, construct a collaborative information platform for cold and arid agriculture. Break down barriers between departments, integrate data from agriculture and rural affairs, commerce, market supervision departments and industrial chain entities to establish a unified cold and arid agriculture database with clear data sharing standards. Implement data collection decentralization, connect production, circulation, and sales data chains to achieve real-time connectivity between field monitoring data, cold storage temperature control data, and destination market data, improving full-chain traceability coverage. Second, develop intelligent modules for cold and arid scenarios. Establish a "cold and arid agriculture algorithm library," develop proprietary algorithm models for cold and arid crops for free use by business entities. Promote deep adaptation between equipment and cold and arid scenarios, conduct localized transformation and certification of imported intelligent equipment to ensure compatibility with the cold and arid agriculture algorithm library. Third, build a digital twin platform for cold and arid agriculture. Construct a digital twin system covering "soil-crop-weather-water conservancy," achieve simulation and deduction for irrigation scheduling and disaster response, open Application Programming Interface (API) for cooperatives and enterprises to connect their own data, improving decision-making efficiency.

**Enhancing Digital Literacy of Business Entities**

First, improve technology adoption capabilities of business entities. Conduct digital skills training, with farmer training focusing on smartphone operation, agricultural app usage, and agricultural product e-commerce basics; cooperatives and family farms emphasizing intelligent equipment operation, production data management, agricultural product e-commerce operations, and supply chain digitalization; agricultural enterprises focusing on full-chain digital collaboration, training in agricultural big data analysis and industrial chain digital management. Second, strengthen practical capabilities in digital technology. Select skilled growers and cooperative leaders who master digital skills to provide on-site field teaching through mentoring models. Establish "digital agriculture training sites" to organize practical exercises for business entities, addressing the "learning-application disconnect" problem. Third, reduce barriers for business entities to improve digital literacy. Simplify operational processes, develop dialect-adapted mobile terminals, set up easy data collection methods such as photo upload and voice input, integrate functions like emergency agricultural technical guides, cold chain vacancy queries, and labor demand publishing to lower usage thresholds for farmers.

**Improving Funding and Talent Guarantee Mechanisms**

First, optimize funding input structure. Establish special funds focusing on key areas such as intelligent irrigation, smart agricultural machinery, and agricultural big data platforms; guide social capital to invest primarily in smart agriculture industrial parks and digital agriculture cloud platforms, support agricultural technology companies in public listings, and provide corporate income tax incentives for companies investing in digital agriculture. Innovate financial support models by providing low-interest loans to support smart agriculture equipment purchases. Second, strengthen cultivation of digital talent for cold and arid conditions. Increase training efforts to improve planting technology and digital application capabilities of grassroots agricultural technicians; establish cold and arid digital agriculture-related majors in universities, encourage university-enterprise cooperation to build talent cultivation bases, and train compound talents. Third, strengthen precise policy support. Optimize fiscal subsidy mechanisms, establish differentiated support policies and precise assistance programs based on cold and arid agriculture characteristics in different regions and different business entities. Formulate data collection standards for cold and arid agriculture, unify soil, weather, and crop growth data formats to improve data application efficiency. Strengthen policy implementation effect evaluation, quantify assessment indicators, and establish a policy optimization system with full-cycle supervision and dynamic adjustment.