Investigators at Central Agricultural University Report Findings in Machine Lear ning [Spatial and Temporal Trend Analysis of Rainfall In Naga land (India) Using Machine Learning Techniques]
Investigators at Central Agricultural University Report Findings in Machine Lear ning [Spatial and Temporal Trend Analysis of Rainfall In Naga land (India) Using Machine Learning Techniques]
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Sikkim, India, by Ne wsRx editors, research stated, "Rainfall plays a vital role in the field of agri culture as it affects agricultural production and associated economy. However, t he changing trend of rainfall has become a global concern." Our news journalists obtained a quote from the research from Central Agricultura l University, "So the study of changes in the trend of rainfall is necessary. In the present study, an innovative trend analysis method was adopted to assess th e changing trend in the state of Nagaland. Data of 40 years was taken for perfor ming the trend analysis using ITA. The entire process of trend change analysis w as automated using Python programming. The analysis indicated that out of the 11 stations considered, three stations indicated a rising trend, eight indicated f alling trends (annual), four rising and seven falling (monsoon), 0 rising and 11 falling (winter). The extent of trend change varied from -34.5 to 1.1. The spat ial distribution of the trend change was also performed. It was observed that th e southeast part of Nagaland's rising trend was more pronounced compared to the southwest. The change was more prominent during the winter season followed by pr e-monsoon and monsoon."
Key words
Sikkim/India/Asia/Cyborgs/Emerging T echnologies/Machine Learning/Central Agricultural University
NETL
NSTL