Blog Posts by TEAM WHU

Increasing Water Accessibility by Data Mining and Remote Sensing / Published September 24, 2014 by Erdem Uenyay

Erdem Uenyay

Increasing Water Accessibility by Data Mining and Remote Sensing

World population is estimated to grow to 10 billion by 2062. Most populous countries will be developing ones, such as India, Pakistan, Nigeria, Ethiopia, Congo, and others
(Worldometers, 2014). This creates an increasing pressure to satisfy growing demand for many goods and services, starting with the basic ones like drinking water and food. Nutrition problems have already become urgent issues in many countries. Almost one billion people suffer from undernourishment. In fact, hunger eradication is one of the Millennium Development Goals set by the United Nations (United Nations, 2014).

Increasing global food production will not solve this problem because enough food is already produced to feed a substantial part of those suffering from undernourishment. However, almost 40% of global food produced is wasted – in rich countries alone this amount to staggering 220 million tons annually (United Nations Regional Information Centre for Western Europe, 2014).

A key solution is sustainable agriculture, which considers long-term impact on environment and local communities. Extensive research has shown that developing countries do not have the skills and technological capabilities to produce
sustainable amounts of food. The main factor is the scarcity of water due to lack of capital and technological capabilities (Clark, 2014). Our purpose is to enable water usage in local communities where water is lacking the most.

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