• Ms. S. Hemalatha
• Dr. S. Gayathri
• Dr. B. Senthil Kumar

Agriculture is the backbone of India and Machines plays vital role agricultural Development. Modern technological developments in information technologies has led society to store large amounts of data in almost all fields namely business, marketing, surveillance, science, medicine, economics, fraud detection sports etc. Often there is an information hidden in the data that is not readily available until and unless analyzed. Agriculture is one of such field which contain large amount of information Hidden which is key source for Knowledge discovery. Knowledge discovery in databases (KDD) is a process which deals with a goal of discovering knowledge as per the users requirement in which old data is explored to develop a new knowledge by discovering rules and patterns using machine learning and visualization techniques which can be achieved using Data mining tool .Data mining is a process of model building in which mining model is created by applying an algorithm to data. According to Hand, Mannila, and Smyth (2001) “A data mining algorithm is a well-defined procedure that takes data as input and produces output in the form of models or patterns” which can be applied to new data to generate predictions and make inferences about relationships.Descriptive model and Predictive model are the two types of data mining models developed during the process of data mining.The most commonly used data mining techniques are classification, clustering, regression and association rules.

Key Words: Data Mining, Visualization, Knowledge Discovery,

"Conceptual review on IOT Technology in Agricultural Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e369-e377, January-2024, Available :http://www.jetir.org/papers/JETIR2401444.pdf

"Conceptual review on IOT Technology in Agricultural Development ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe369-e377, January-2024, Available at : http://www.jetir.org/papers/JETIR2401444.pdf