Analysis of the condition of hilly space by soil nutrient rapid tester

The spatial variability and accurate prediction of soil nutrients are conducive to improving the accuracy of fertilizers, adjusting the speed of different fertilizer fields, reducing waste and increasing farmers' income, protecting agricultural resources and environmental quality, and promoting the sustainable development of agriculture. In the landscape and basin scale, the climate and maternal materials are relatively unified, and the topographical and land use factors are the main points affecting the spatial variability of soil nutrients. Therefore, it is necessary to study soil and spatial difference analysis by soil nutrient rapid tester.

The soil nutrient speed measuring instrument research area is dominated by hills, with the highest point of 331.9m, the lowest point of 234.3m, the relative height difference of 97.6m, the slope range of 0~48.8°, and the average slope of 14.3°. The main types of land use are dry land, paddy fields, forested land, residential areas, pits and ponds, roads and wasteland. The main farming systems in dryland are broad bean-corn-sweet potato, corn-sweet potato and vegetable land, and the paddy field farming system is a mid-season rice.

The soil nutrient rapid tester was used to compare the statistical values ​​of soil nutrients in the training set and the verification set. It can be found that the average value, median and standard deviation of each soil nutrient in the two concentrations differed from the individual points, and the rest were Relatively close, and the maximum value of soil nutrients in the two concentrations in addition to soil alkaline nitrogen and available potassium is also very close. The soil nutrient speed meter shows that the variation of soil nutrients in the two concentrated soils is similar, coefficient of variation It also proves this point.

The spatial distribution prediction of soil nutrients depends on the accurate soil information obtained by the soil nutrient rapid tester. The past information mainly comes from the traditional soil map, but the traditional low-precision soil map (drawing polygon, simplification and spatial distribution of soil nutrients are not continuous) The shortcomings of slow update and high cost have not been able to meet the requirements of modern precision agriculture and environmental models to simulate soil details and nutritional information (space). Therefore, accurate measurement of the scientific instruments of soil nutrient rapid testers is the key.

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