Core Insights - Jiangsu's agricultural innovations have been recognized in the Ministry of Agriculture and Rural Affairs' 2025 list of leading varieties and promoted technologies, showcasing its strength in the "bean-rice-livestock" agricultural technology sector [1] Group 1: Facility Watermelon "Double Reduction" Technology - The "Double Reduction" technology aims to reduce fertilizer usage by 20%-30% and pesticide usage by 15%-20%, successfully included in the 2025 promoted technologies [2] - The technology employs a membrane under micro-drip irrigation system combined with soil moisture sensors, achieving a 30% reduction in water usage and a 20% reduction in fertilizer [2] - The new planting model has been adopted in the Yangtze River Basin and Huang-Huai-Hai regions, leading to significant economic benefits for farmers, with a cost reduction of approximately 350 yuan per acre and an increase in net income of 1500 yuan [3] Group 2: Southern Meat Sheep "All-Shelter Feeding" Technology - The "All-Shelter Feeding" technology addresses challenges in southern regions, such as low efficiency in free-range farming and difficulties in straw utilization, and has been recognized in the 2025 promoted technologies [4] - This technology combines precise breeding, resource utilization of straw, and smart equipment, significantly increasing the number of lambs produced per ewe from one per year to an impressive five over three years [4] - The use of TMR mixing machines converts straw into balanced nutrition, enhancing feed intake and reducing waste, while the system allows for automated feeding, lowering labor costs [5] Group 3: New Green Bean Variety "Su Green 7" - The "Su Green 7" variety, known for its disaster resistance and high yield, has been included in the 2025 list of leading varieties, with an average yield of 165.12 kg per mu and a potential yield of 230.46 kg per mu [6] - This variety was developed through hybridization and has shown superior performance in various regions, including Jiangsu and Anhui, contributing to agricultural production and farmer income [7]