Suggesting Pesticides for Farmers using Data Mining
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
Agriculture plays a vital role in India’s economy. Virtually fifty eight % of the rural people rely upon the Agriculture. One amongst the challenges that Indian farmers encounter nowadays is how to use the pesticides in correct way i.e. some pesticides work in some lands properly. For suppose if a chemical works fine in Chennai then the makers in Chennai created pesticides supported their land conditions. However if an equivalent pesticides utilized in Nellore they’ll not work because of the different land conditions. Farmers could lose ton of cash. Some commit suicides conjointly. To rectify the above problem, we have a tendency to area unit developing a website that stores all knowledge concerning totally different lands in several areas and conjointly collects the information concerning pesticides that employment in their areas. So, in future farmers will search concerning the pesticides that employment in their areas which is able to work fine in their areas. We have a tendency to develop this product using HTML, PHP and MYSQL languages. We have a tendency to conjointly use a number of the information mining tools like Apriori and association rule.
Authors and Affiliations
Devareddy Kamalesh, K T Hari Krishna, Premsai Kanigalpula, Prof. Santhi K
Keywords
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- EP ID EP24096
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