Core Insights - The core viewpoint of the articles is the introduction of the iMAP agricultural model by China National Chemical Corporation, which aims to integrate AI technology into traditional agriculture to enhance decision-making processes throughout the entire planting cycle [1][2]. Group 1: iMAP Agricultural Model - The iMAP agricultural model is designed to provide intelligent decision support across the entire agricultural process from plowing to harvesting, leveraging extensive agricultural experience and vast field data [1]. - iMAP combines online intelligent decision-making with offline personalized services, effectively addressing the challenges of agricultural technology promotion and ensuring the application of advanced AI technologies in farming [1]. Group 2: Implementation and Impact - The first version of iMAP is currently being tested in major grain-producing areas such as Inner Mongolia and Northeast China, with a trial area of 1 million acres focused primarily on corn crops [2]. - Initial results indicate that the use of iMAP has reduced the time required for agricultural decision-making by 75% through its intelligent perception, analysis, and decision-making capabilities [2]. Group 3: Future Plans and Collaborations - China National Chemical Corporation plans to expand collaborations with academic and research institutions to establish a leading example in the "AI + Agriculture" sector, contributing to national food security and accelerating agricultural modernization [2]. - The company operates hundreds of agricultural MAP technology service centers across 26 provinces in China, with a service scale exceeding 40 million acres, supporting the iMAP model with a robust data foundation [2].

Core Viewpoint - The implementation of advanced agricultural technologies and management practices in Inner Mongolia is significantly enhancing corn yields and promoting sustainable farming practices, particularly in water-scarce and saline-alkali areas [1][2][3][4] Group 1: Agricultural Technology and Practices - The introduction of precision irrigation and digital management systems has allowed for efficient water and fertilizer use, resulting in a 20% higher corn yield compared to local averages [2] - The use of a comprehensive management model that includes soil testing, seed selection, and real-time data monitoring is crucial for optimizing crop production [2][3] - The "ton grain field" initiative aims to increase grain production through the integration of high-efficiency farming techniques and water-fertilizer management [1][4] Group 2: Economic Impact and Community Involvement - The cooperative model involving government, enterprises, cooperatives, and farmers has transformed local agricultural practices, enabling farmers to achieve stable income through land share and labor opportunities [4] - The average corn yield in the region is projected to reach 850 million mu by 2024, with an increase of 24.2 jin per mu compared to the previous year, surpassing the national average [4] - The economic benefits of these practices are evident, with farmers reporting significant increases in income from both land investments and agricultural labor [4] Group 3: Replicability and Future Prospects - The successful agricultural model developed in Inner Mongolia is being replicated in other regions to enhance food security and agricultural productivity [3][4] - The focus on addressing challenges such as water scarcity and soil salinity through innovative farming techniques is expected to drive further improvements in crop yields [3][4]