Abstract : Jilin province is an important agricultural production resource in our country. Study on the temporal and spatial variability of maize yield are significant to understand the potential nutrients in soil, and guide agricultural practice for the recent years in precision operate area. The every year yield distribution belonged to the normal distribution by testing K-Sand the coefficient of variation of them were 16.33%, 11.85%, 12.90% respectively. That precise operation can reduce the yield difference in every operate cell. As a result, the temporal and spatial variability of maize yield can be successfully applied to yield prediction in Jilin Province. Partition results can not only guide soil nutrient evaluation, and can be used to implement variable input and precise fertilization recommendation.
Daoliang Li; Yingyi Chen. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-452, pp.714-719, 2015, Computer and Computing Technologies in Agriculture VIII. 〈10.1007/978-3-319-19620-6_77〉
https://hal.inria.fr/hal-01420288
Contributeur : Hal Ifip
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Soumis le : mardi 20 décembre 2016 - 14:05:41
Dernière modification le : vendredi 1 décembre 2017 - 01:16:49
Document(s) archivé(s) le : lundi 20 mars 2017 - 17:02:51
Yueling Zhao, Haiyan Han, Liying Cao, Li Ma, Guifen Chen. Study on the Temporal and Spatial Variability of Maize Yield in Precision Operation Area. Daoliang Li; Yingyi Chen. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. IFIP Advances in Information and Communication Technology, AICT-452, pp.714-719, 2015, Computer and Computing Technologies in Agriculture VIII. 〈10.1007/978-3-319-19620-6_77〉. 〈hal-01420288〉
