Agrotechnology

The improvement of sustainable rainfall for Vietnamese agriculture based on grey model

International Conference on Agri Biotech & Environmental Engineering

September 11-12, 2017 San Antonio, USA

Nguyen-Nhu-Y Ho

National Kaohsiung University of Applied Sciences, Taiwan

Posters & Accepted Abstracts: Agrotechnology

Abstract:

Vietnamese farmers have to deal with increasing difficulties and requirements as agriculture-related economic problems associates with crop over-production, cost increase of energy-based inputs and farmer�??s income cutback. In addition, the agricultural economy is greatly influenced by key features of climate such as temperature and rainfall, particularly because they contribute to the production of food, conservation of resources and improvement of soil fertility. Furthermore, requirements of global sustainability such as resource conservation, protection of environment and farming in partnership with nature are in urgent need since global warming increases the temperature while El Niño on the internal time scale affects the rain fall of the country. The occurrences of natural disasters in Vietnam have increased significantly due to the effect of the climate change, which in turn makes the rainfall become uncontrollable. Therefore, a design of sustainable agricultural systems is essential at this time. This research proposing a Grey (1:1) model (GM) will reveal the long term variations in temperature and rainfall. After collecting the data of variables for 15 meteorological of Vietnam in the period of 2012-2015, GM is used to forecast the future values of these variables for the 15 meteorological from 2016 to 2019. In this study we present the calibration and validation results from a spatially distributed hydrologic model driven by daily satellite-based estimates of rainfall for subbasins of the Mekong Rivers flowing to Vietnam. Results provide an agricultural setting for the current rain fall degradation problem in Vietnam savanna; indicate possible directions and priorities for future sustainable agricultural research and present demands of improving yields without compromising environmental integrity or public health. Moreover, the study results help farmers plan to protect their crops as well as grow appropriate plants in order to get best harvest.