The Application of Data Mining Techniques in Agricultural Science

Abstract

Information Technology has a positive impact on other disciplines. Using today's technology, precision agriculture and Information Technology are mixed together. Use of Information Technology in agriculture will lead to improvements in productivity. For this purpose, the raw data is transformed into useful information through data mining. This research determined whether data mining techniques can also be used to improve pattern recognition and analysis of large growth factors of ornamental plants experimental datasets. Furth ermore, the research aimed to establish data mining techniques can be used to assist in the classification and regression methods by determining whether meaningful patterns exist various growth factors of ornamental plants characterized at various research sites across Kish Island. Different data mining techniques were used analyze a large data base of ornamental plants properties attributes. The data base has been collected from different plants of Kish Island in various areas in order to determine, classify and predict effective growth factors on bloo ming. In this research, analyzed data with regression technique showed the effect of chlorophyll content on the number of flowers. The analy sis of these agricultural data base with different data mining methods may have some advantages in agriculture

Sentiment Analysis of Social Media Tweets on Farmer Bills 2020

“…It has been noticed that people who like to express their views and feelings on online social media platforms like to use two more languages (Lantz-Andersson, 2018). Focusing on the field of agriculture, (Fetanat et al, 2015) created an agricultural information system by collecting organized agricultural datasets (Fetanat et al, 2015). Patterns in data are extracted by data mining so that a knowledge base will be generated to facilitate decision making in agricultural corporations.…”

“…(Palepu & Muley, 2017) highlighted the importance of data mining for soil analysis (Palepu & Muley, 2017). (Fetanat et al, 2015) have used regression techniques to analyze the data and highlighted the effect of chlorophyll on the carnality of flowers. They have also used agricultural data used for the analysis (Fetanat et al, 2015).…”

“…(Fetanat et al, 2015) have used regression techniques to analyze the data and highlighted the effect of chlorophyll on the carnality of flowers. They have also used agricultural data used for the analysis (Fetanat et al, 2015). (Majumdar et al, 2017) were used some techniques such as CLARA, PAM etc., to prove the best optimizations for maximizing the crop production.…”