| Abstract | Agriculture assumes an essential part in the life of an economy. It is the
backbone for creating nations like India as over 70% of populace relies upon agriculture. To
expand crop production numerous components are mindful like soil, climate, downpour,
fertilizers and pesticides. The Author has utilized soil boundaries to expand crop production
since it is a fundamental key factor of agriculture. To keep up supplement levels in the soil if
there should arise an occurrence of inadequacy, fertilizers are added to soil. The basic issue
existing among the Indian ranchers is that they pick surmised measure of fertilizers and include
them physically. Abundance or lacking expansion of manure can hurt the vegetation and
diminish the yield. This paper gives audit of different data mining procedures utilized on
agriculture soil dataset for compost suggestion. Basically I zeroed in on different soil boundaries
like Fe, S, Zn, Cu, N and Ph esteem and so forth. In this review, we additionally depict some
Agriculture issues that can be illuminated by utilizing data mining strategies.
Keywords – [K-means-Nearest Neighbour, Data Mining, Clustering, Classification, Artificial
Neural network, support vector machine.]
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