Prediction of Suitable Harvest Time in Aquaculture

Zhaotang Shang, Lin Cheng, Mengsen Luo, Lang He, Zhigang Lu

Haian Meteorological Bureau, Haian, China.
Jiangsu Provincial Meteorological Bureau, Nanjing, China.
Yancheng Meteorological Bureau, Yancheng, China.

DOI: 10.4236/nr.2013.42024                

Abstract

A model is provided to predict the prawn’s harvest in aquaculture through analytical research in agrometeorology, mathematical statistics, synoptic meteorology and et al. It is found out that the Benefit Analysis of the Best Harvest is one of the most ideal ways. The models for the breeding objects, climate prediction and analysis of market quotation should be set up and perfected continuously. Only when the dynamic numerical simulation of the growth is accurate and the short-term weather forecast and the market quotation are reliable, will the suitable harvest time be predicted precisely. We used to write this paper with the foundation on ideologies.

Keywords

Aquaculture; Breeding; Harvest; Prediction

Conflicts of Interest

The authors declare no conflicts of interest.

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