Data Mining In Agriculture. Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields.
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Data Mining is expected to play an important role in Smart Agriculture for managing realtime data analysis with massive data The aim of this paper is to review ongoing studies and research on smart agriculture using the recent practice of Data Mining to solve a variety of agricultural problems Previous article Next article Keywords Data mining.
(PDF) Application and Scope of Data Mining in Agriculture
Using data mining to achieve accurateness in agriculture using data mining techniques Excessive use of pesticides hampers the overall agricultural productivity and in order to tackle this issue there is a need to minimize the use of pesticides in agriculture Data mining can be used to design automated systems to detect weeds growing in fields [6].
Data Mining in AgricultureA Novel Approach – IJERT
ROLE OF DATA MINING REVIEW OF LITERATURE CONCLUSION 2 05/18/17 0232 PM INTRODUCTION Agriculture is a business with risk Depends on climate geography political and economic factors Some risks which can be quantified by mathematical statistical methods and advanced computing.
(PDF) DATA MINING TRENDS IN AGRICULTURE : A REVIEW
Data Mining is expected to play an important role in Smart Agriculture for managing realtime data analysis with massive data The aim of this paper is to review ongoing studies and research on smart agriculture using the recent practice of Data Mining to solve a variety of agricultural problems Previous article Next article Keywords Data mining.
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A Survey on Data Mining Techniques in Agriculture – IJERT
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PDF filefrom large sets of data is called Data Mining In agricultural field Data Mining is an important research field In this paper Description and overview of data mining techniques which are applied to agriculture and their applications to agriculture related areas is.
