The Soil Nutrient Spatial Interpolation Algorithm Based on KNN and IDW

Abstract : For breaking the limitation of the GIS platform and realizing the soil nutrients spatial interpolation algorithm for any points in the monitoring area to transplant to the mobile platforms, this paper established the spatial index of the soil nutrient sampling points utilizing the K-D Tree as the space splitting algorithm of the soil nutrient sampling points. On this basis, the K nearest neighbor search of the soil nutrient sampling points was also implemented employing KNN algorithm. Finally, the soil nutrient spatial interpolation was realized based on KNN and IDW algorithm. Meanwhile, the accuracy of the algorithm and the influence to the different soil nutrient elements affected by the K value in KNN algorithm were also verified. The results show that the soil nutrient spatial interpolation algorithm was viable to predict the element contents of soil nutrient during the running time was less than 3 s. To reach the best accuracy, the values of the proximal point K for predicting the PH, organic matter, rapid available phosphorus and rapid available potassium should be set as 85, 15, the largest sample space and 65 respectively. The optimal average absolute error of the pH, organic matter, rapid available phosphorus and rapid available potassium was 0.0405, 0.3870, 0.0015 respectively.
Type de document :
Communication dans un congrès
Daoliang Li; Zhenbo Li. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-478 (Part I), pp.412-424, 2016, Computer and Computing Technologies in Agriculture IX. 〈1010.1007/978-3-319-48357-3_40〉
Liste complète des métadonnées

Littérature citée [24 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01557849
Contributeur : Hal Ifip <>
Soumis le : jeudi 6 juillet 2017 - 15:50:41
Dernière modification le : jeudi 6 juillet 2017 - 15:54:10

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Xin Xu, Hua Yu, Guang Zheng, Hao Zhang, Lei Xi. The Soil Nutrient Spatial Interpolation Algorithm Based on KNN and IDW. Daoliang Li; Zhenbo Li. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-478 (Part I), pp.412-424, 2016, Computer and Computing Technologies in Agriculture IX. 〈1010.1007/978-3-319-48357-3_40〉. 〈hal-01557849〉

Partager

Métriques

Consultations de la notice

152