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Model for Predicting Climatic Yield of Sugarcane in Nanning City

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  • Lan, Zhanggui
  • Li, Guanghai
  • Liand, Yulian
  • Yand, Yuhong
  • Li, Xiaoping

Abstract

According to spatial distribution of climate disasters in Nanning City and physiological and ecological indicator demands of sugarcane, with the aid of HJ-1 CCD satellite remote sensing images, basic meteorological data and geographic information data, this paper established the model for predicting climatic yield of sugarcane in Nanning City, to predict total yield of sugarcane in Nanning City. Results indicated that the distribution of sugarcane in Nanning City is greatly influenced by drought. In 2010, regions suffered from drought had sugarcane planting area of 346.20 km2, accounting for 18.88% of the total sugarcane planting area. The influence of frost disaster on distribution of sugarcane in Nanning City is limited. Regions suffered from frost had sugarcane planting area of only 67.1 km2, taking up 3.75% of the total sugarcane planting area. In 2010, the climatic yield of sugarcane in Nanning City was 8.8446 million tons. It proved that the prediction accuracy of the model is up to 90%.

Suggested Citation

  • Lan, Zhanggui & Li, Guanghai & Liand, Yulian & Yand, Yuhong & Li, Xiaoping, 2014. "Model for Predicting Climatic Yield of Sugarcane in Nanning City," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 6(02), pages 1-4, February.
    • Handle: RePEc:ags:asagre:165006
    DOI: 10.22004/ag.econ.165006
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    Keywords

    Agribusiness;

    Statistics

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