Tropical Climate Adaptation And Rubber Yield Improvement Management Of Agricultural AI Big Model in Rubber Tree Planting

Rubber trees are the most important economic crop in tropical regions, and natural rubber is an important industrial raw material and strategic material. Hainan, Yunnan, and Guangdong are the core planting areas in China. Traditional rubber tree planting faces pain points such as poor adaptability to tropical climate, frequent cold and typhoon disasters, extensive management and protection of rubber trees, low rubber production, and short economic life. The agricultural AI big model has achieved intelligent management of tropical climate adaptation and rubber production improvement in rubber tree planting, realizing the full process intelligent control of rubber tree from seedling cultivation, planting, rubber plantation management to rubber cutting production, and promoting the high-quality development of China's natural rubber industry.
The agricultural AI big model has constructed a tropical climate intelligent adaptation and rubber plantation planning system for rubber tree planting. It integrates multi-source data such as climate characteristics, topography, soil conditions, typhoon and cold damage occurrence patterns, water resources status, etc. of the planting area, and combines the cold resistance, wind resistance, high yield, and disease resistance characteristics of different rubber tree varieties to construct a rubber tree variety adaptation and rubber plantation planning model. The rubber tree planting area in China is located in the northern edge of the tropics and belongs to non-traditional rubber planting area. It faces two core climate risks, namely, low temperature and cold damage in winter and storm and rain in summer and autumn. The model accurately recommends suitable rubber tree varieties and planting modes through in-depth analysis of the climate and site conditions in the rubber planting area. In the high incidence areas of typhoons in Hainan, it is recommended to recommend rubber tree varieties that are resistant to wind and high-yield, optimize the layout of windbreak forests and the planting mode of wide and narrow rows in rubber plantations, and enhance their ability to resist typhoons; In winter low temperature areas such as Yunnan and Guangdong, we recommend cold resistant and fast-growing varieties, optimize slope planting and layout of cold resistant forest belts, and enhance the cold resistance of rubber trees; Optimize the planting density and planting method of rubber trees, as well as the construction plan of rubber plantation terraces, according to different site conditions, to enhance the soil and water conservation capacity and land use efficiency of rubber plantations. In the practice of rubber planting areas such as Danzhou in Hainan, Xishuangbanna in Yunnan, and Zhanjiang in Guangdong, Jiangsu Sansheng has developed an AI management system for rubber tree planting, which has increased the survival rate of rubber trees from the traditional 80% to over 95%, significantly enhancing the disaster resistance of rubber plantations.