Rainfall prediction is very crucial for India as its economy is based on mainly agriculture. The parameters that are required to predict the rainfall are very complex in nature and also contain lots of uncertainties. Although various approaches have been earlier suggested for prediction, the soft computing is found to be very effective in developing models which emulates human being and derives expertise like human being to adapt to the situations and learn from the experiences.
The weekly digest of important reports, research, policy documents, regulations, studies, court cases, protests, conflicts, initiatives, photos, data, statistics, infographics, presentations on the India Environment Portal, 14 - 20 September 2014.
This report is a component of the Research Program on Climate Change, Agriculture, and Food Security (CCAFS)–-funded project “Impacts of Climate Extremes on Future Water and Food Security in South Asia and East Africa.” The goal of the project was to characterize extreme drought events, to improve on a methodology to assess the probability of th
Sri Lanka has been selected as one of the first two pilot countries to implement the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) project on the application of s
The weekly digest of important reports, research, policy documents, regulations, studies, court cases, protests, conflicts, initiatives, photos, data, statistics, infographics, presentations on the India Environment Portal, 14 - 21 June 2014.