Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
Agriculture is considered one of the evergreen and blooming sectors which
is continuously addressing the needs of the growing population around the world. In a
country like India with hundred crore population, 37 million to 118 million still depend
on farming. The use of machinery and modern practices in agriculture is still not
followed by the majority of farmers. Adoption of modern farm practices can result in
increased yield of the crop, reduction in pollution, less water consumption, effective
pest management and pesticide usage. There is a need for a lot of research on new
inventions that help farmers to overcome these challenges. Artificial intelligence and
machine learning are two domains that need to be utilized to address the challenges.
Even though many researchers have focused on these issues, it is still way war far
behind. In this paper, I would like to propose some of the approaches of Artificial
Intelligence and Machine Learning that address the challenges faced by farmers.
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Authors:Bentham Science Books