Abstract
Rice output directly affects China’s food security. Diseases - insect pests are one of the main agricultural disasters that affect the stable and high yield of crops. With the change of the environment, the variety and scale of diseases and insect pests are increasing. Every year, rice in many areas suffers from diseases and insect pests, which causes serious loss of national food production. Therefore, the research on the relationship between rice growing environment and DIP is increasingly important. At the same time, the emergence of big data analysis enables the growth data of rice and the data of DIP to be analyzed and processed quickly, which provides convenience for this research to a large extent. On the basis of big data analysis, this paper takes rice cultivation as the research object, and through the follow-up investigation of rice DIP in various regions, it can understand the occurrence of rice DIP in different regions in successive years. The relationship between the occurrence of rice diseases and pests and the growth environment factors was discussed, and the climate background and coupling mechanism of the occurrence and prevalence of rice diseases and pests were revealed, so as to predict the occurrence trend of major rice diseases and pests in the region, and to provide basic data for the establishment of disease and pest prediction model.
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References
Han, Y.-Q., Wen, J.-H., Peng, Z.-P.: Effects of silicon amendment on the occurrence of rice insect pests and diseases in a field test. J. Integr. Agric. 17(10), 40–49 (2018)
Zhang, S., Zhang, C., Ding, J.: Disease and insect pest forecasting model of greenhouse winter jujube based on modified deep belief network. Trans. Chin. Soc. Agric. Eng. 33(19), 202–208 (2017)
Nyamwasa, I., Li, K., Rutikanga, A.: Soil insect crop pests and their integrated management in East Africa: a review. Crop Prot. 106(10), 163–176 (2018)
Xu, H.-X., Yang, Y.J., Lu, Y.-H.: Sustainable management of rice insect pests by non-chemical-insecticide technologies in China. Rice Sci. 24(2), 61–72 (2017)
Sattler, C., Schrader, J., Farkas, V.M.: Pesticide diversity in rice growing areas of Northern Vietnam. Paddy Water Environ, 16(2), 1–14 (2018)
Li, C.M., Lei, C.X., Liang, Y.T.: As contamination alters rhizosphere microbial community composition with soil type dependency during the rice growing season. Paddy Water Environ, 15(3), 1–12 (2017)
Jabran, K., Riaz, M., Hussain, M.: Water-saving technologies affect the grain characteristics and recovery of fine-grain rice cultivars in semi-arid environment. Environ. Sci. Pollut. Res. 24(14), 12971–12981 (2017)
Prasad, R.: Knowledge-based decision tree approach for mapping spatial distribution of rice crop using C-band synthetic aperture radar-derived information. J. Appl. Remote Sens. 11(4), 1 (2017)
Fan, X., Fang, K., Ma, S.: Assisted graphical model for gene expression data analysis. Bioinformatics 38(1), 2364–2380 (2019)
Lo’ai, A.T., Mehmood, R., Benkhlifa, E.: Mobile cloud computing model and big data analysis for healthcare applications. IEEE Access 4(99), 6171–6180 (2017)
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Chen, Y., Wang, W. (2020). Relationship Between Rice Growing Environment and Diseases-Insect Pests Based on Big Data Analysis. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_82
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DOI: https://doi.org/10.1007/978-981-15-2568-1_82
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