The spatial variability and accurate prediction of soil nutrients are conducive to improving the accuracy of fertilizers to adjust the speed of different fertilizer fields, reduce waste and increase the income of farmers, protect agricultural resources and environmental quality, and promote the sustainable development of agriculture. In the landscape and basin scales, the climate and the parent material are relatively uniform, and the two major factors of landform and land use are the main points that affect the spatial variability of soil nutrients. Therefore, it is necessary to study the soil and analyze the spatial differences through the soil nutrient fastness meter.
The area of ​​the soil nutrient quickness tester was mainly hills. The highest point was 331.9m above sea level, the lowest point was 234.3m, the relative height difference was 97.6m, the slope range was 0-48.8°, and the average slope was 14.3°. The main types of land use are dryland, paddy fields, forested land, settlements, pit water surface, highways and wasteland. The main farming systems in dry land are broad bean-corn-sweet potato, corn-sweet potato and vegetable land. The paddy field farming system is a midseason rice.
The soil nutrient concentration tester was used to measure and compare the statistical values ​​of soil nutrients in the training set and verification set. It can be seen that the average value, median value, and standard deviation of each soil nutrient differ greatly from each other except for individual points. It is relatively close to the maximum value. In addition to the alkaline N and available K, the maximum value of the other soil nutrients in the two concentrations is also very close. The soil nutrient tester shows that the concentrations of the two concentrated soil nutrients are similar, and the coefficient of variation is similar. Also proved this point.
The spatial distribution prediction of soil nutrients depends on the accurate soil information obtained by the soil nutrient fastness meter. The past information mainly comes from the traditional soil maps, but the traditional low-precision soil maps (drawing polygons, simplification, and spatial distribution of soil nutrients are not continuous). Due to the low update rate and high cost, it can no longer meet the requirements of modern precision agriculture and environmental model simulation of soil detailed information and nutrition information (space). Therefore, the accurate determination of scientific and technical instruments of soil nutrient fastness testers is the key.
The area of ​​the soil nutrient quickness tester was mainly hills. The highest point was 331.9m above sea level, the lowest point was 234.3m, the relative height difference was 97.6m, the slope range was 0-48.8°, and the average slope was 14.3°. The main types of land use are dryland, paddy fields, forested land, settlements, pit water surface, highways and wasteland. The main farming systems in dry land are broad bean-corn-sweet potato, corn-sweet potato and vegetable land. The paddy field farming system is a midseason rice.
The soil nutrient concentration tester was used to measure and compare the statistical values ​​of soil nutrients in the training set and verification set. It can be seen that the average value, median value, and standard deviation of each soil nutrient differ greatly from each other except for individual points. It is relatively close to the maximum value. In addition to the alkaline N and available K, the maximum value of the other soil nutrients in the two concentrations is also very close. The soil nutrient tester shows that the concentrations of the two concentrated soil nutrients are similar, and the coefficient of variation is similar. Also proved this point.
The spatial distribution prediction of soil nutrients depends on the accurate soil information obtained by the soil nutrient fastness meter. The past information mainly comes from the traditional soil maps, but the traditional low-precision soil maps (drawing polygons, simplification, and spatial distribution of soil nutrients are not continuous). Due to the low update rate and high cost, it can no longer meet the requirements of modern precision agriculture and environmental model simulation of soil detailed information and nutrition information (space). Therefore, the accurate determination of scientific and technical instruments of soil nutrient fastness testers is the key.
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