As the world's most widely grown high-quality soybean herbage, it is known as the king of grass. It is characterized by high yield of grass, high protein content, aerobics and nitrogen fixation. It is the core forage for the development of our grass-grass livestock. It is also an important crop for the development of grass-grassing and crop rotations. Traditional herb farming suffers from poor variety suitability, poor crop management, low yield and protein levels, and poor rotation patterns. The agricultural ai model is a highly productive model for high-quality and intelligent decision-making in herbal crops。
The aai mega-models have built a system of planning for the intelligent adaptation and cultivation of varieties for thorium cultivation, integrating multi-source data on climatic characteristics, soil conditions, altitude, precipitation patterns, irrigation conditions, utilization purposes, etc. Of the cultivation areas, and a model of assessment of the suitability of thorium species, combining indicators such as the autumn hibernation level of different species of thorium, drought resistance, saline resistance, grass production, coarse protein content and regeneration. The autumn sleeping level is the core indicator for determining the suitability of the range area. The model recommends the precise adaptation of species for the different climatic zones of the country. The autumn high production level 1-3 species are recommended for cold areas such as the north-east and the interior mongolia; the autumn sleeping level 4-6 is recommended for stable products in the yellow sea region; the autumn sleeping level 7-9 is recommended for heat-resistant, disease-resistant varieties in the wet heat zone of the south; and the salt-tolerant species are recommended for salinization areas. At the same time, the model optimizes the planning of the cultivation of thorium, accurately recommends the best planting time, the method of seeding, the amount of seeding and the intensity of cultivation, and customizes planting programmes for drought-fed and irrigated areas to guarantee the success rate of seedling and planting. In practice, the zhui yi cultivation system, built by jiangsu san, the main production areas of inner mongolia, gansu, ningxia and hebei, has increased the success rate from 65 per cent to over 90 per cent。
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The system's core application is its full cycle of smart tube care and high-yield quality optimization. The model combines the growth cycle of the thorium with the cut, the integration of soil plastering, nutrient monitoring data, meteorological data and the construction of the exclusive hydrofertilizer management and growth regulation model. The model is a dynamically optimized hydrofertilizer management programme for the different needs of the seeding period, branching period, current curry period, flowering period, and regenerative growth characteristics of each lumber. • nutritional indicators, such as the optimal production of grass and dried grass, as well as the value of coarse protein and relative feed feeding, are promoted during the lumber planting period, which promotes the growth of seedlings and ensures their successful growth; between the present poaching period and the initial flowering period of each lumber, which is the best harvest period for the yield of grass and protein; and after each lumber, the timely optimization of the fertilizer and irrigation programme, which promotes the regeneration of the lumber and increases the annual thawing and total production. In response to the problem of weeds, which is common in thorium cultivation, the model identifies the species and distribution of weeds precisely by means of image recognition techniques and recommends a combination of physical, mechanical and chemical protection programmes to reduce the impact of weeds on the growth of weeds。
The system's core advantage is the rotational planning of herbs and the optimization of the crop cycle. Modelling integrates the main plant crops, soil conditions, grazing needs of farming subjects in the growing areas, and modeling decision-making on the rotational and crop cycle of herbs. It has a strong nitrogen-fixing capacity to significantly increase soil organic content and improve soil structure. The model optimizes grassland rotations such as thorium-colour and wheat “thorium-cotton”, precisely determining the years of thorium cultivation, crop rotations and planting sequences, combining land use with nutrients, reducing fertilizer use for post-crazy crops and improving the yield and quality of post-crazy crops. For agricultural and pastoral areas, the model optimizes the cycling programme, treats manure farming as organic fertilizer for the cultivation of thorium after no harm, achieves the “gras-grass-fertilized-grass” cycle, reduces fertilizer use, reduces farm pollution and enhances the overall benefits. The model would also provide a precise calculation of the area under cultivation, the variety mix and the plan for the cultivation of the herb, on the basis of the animal stock column and the grazing demand of the farming body, and a precise matching of the feed supply and demand. In the area of pest control, models are designed to provide predictive models of occurrence, early warning of risks and recommendations for green containment and control programmes to ensure the safety of the herring's herbage quality, for example, in common cases of frossy, brown spots, aphids and aphids。
Following the extension of the system to the main production areas in inner mongolia, gansu, ningxia and hebei, the increase of 30 per cent in dry grass, an average increase of 1-2 per cent in coarse protein content, an increase of 40 per cent in the utilization of water fertilizers, an increase of over 15 per cent on the average in the production of late-grassing food crops through crop rotation in grasslands has provided high-quality forage security for the country's herb husbandry and promoted the development of farm farming combines with the cultivation of cycling。
