Drip irrigation cotton field nitrogen application management method based on GIS

Abstract

The invention discloses a drip irrigation cotton field nitrogen application management method based on a GIS. The method comprises the steps that total nitrogen, organic matter and alkali-hydrolyzable nitrogen of soil are taken as data sources, partitioned management on drip irrigation cotton field nitrogen nutrients is achieved through a fuzzy c-mean clustering algorithm, on this basis, the application amount of nitrogen base fertilizer is determined by taking the alkali-hydrolyzable nitrogen of the soil as an index, canopy NDVI critical values of all the duration periods of cotton are determined on the basis of the nitrogen accumulation amount of leaves, and then the application amount of nitrogen topdressing is determined according to the NDVI critical values and actually measured values. The method has the advantages that the defects that due to the fact that the different nutrient contents are not taken into account in the traditional application process, application in the low nitrogen area is insufficient, and application in the high nitrogen area is excessive, and the crop growth and fertilizer waste are prevented from being influenced.

Description

Technical field [0001] The invention relates to the field of farmland management, in particular to a GIS-based drip irrigation cotton field nitrogen fertilization management method. Background technique [0002] In Xinjiang inland oasis, the study of precise farmland management zoning based on multiple soil attributes can not only understand the characteristics of the oasis's agricultural ecological environment and its special production functions, but also play an important role in the rational development and sustainable development of oasis agriculture. Different from local agriculture, which is based on the decentralized operation of farmers, the large-scale state-owned farm of Xinjiang Production and Construction Corps adopts a highly intensive management model of agricultural technology on the basis of the decentralized operation of farmers, which has brought great benefits to the promotion and popularization of high-tech agricultural science and technology convenient. Far...

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Problems solved by technology

[0003] In the previous work, the applicant used the active remote sensing spectrometer to diagnose the nitrogen nutrition of cotton, and established a cotton nitrogen topdressing recommendation model ("Cotton nitrogen nutrition diagnosis and topdressing recommendation model", Li Xinwei et al., "Journal of Agricultural Machinery", December 2014, Vol. 45, No. 12), but this model only studies the nutrient quality of the aboveground part of cotton without considering the soil nutrient status, and the amount of fertilization is closely related to the soil nutrient status

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