Joel Robinson

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Working as Associate Professor at Kings Engineering College, Irugattukottai, Chennai
Address: Kings Engineering College
Department of Information Technology
Irukattukottai, Chennai

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Bernard M Levinson

University of Minnesota

Armando Marques-Guedes

UNL - New University of Lisbon

Lev Manovich

Graduate Center of the City University of New York

Fusun Balik Sanli

Yildiz Technical University

Jean Doumit

Lebanese University

Bogdan Gabrys

University of Technology Sydney

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RIVERS STATE POLYTECHNIC

Taskin Kavzoglu

Gebze Technical University

Munish Jindal

Punjab Technical University

Mohamad Ivan Fanany

University of Indonesia

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An Advanced Strategy for Efficient Agricultural Production using Machine Learning

IEEE, 2023

Agriculture is very important to the prosperity of the country. Climate change has created a vari... more Agriculture is very important to the prosperity of the country. Climate change has created a variety of problems for the agricultural academic system. Since machine learning (ML) provides effective and affordable solutions, it is the most effective method for solving problems. Crop yield prediction involves estimating the crop yield based on historical data and a variety of other factors, including the climate, sometimes the environment, the water source, and warmth. This study analyses and discusses the use of the linear regression technique for evaluating agricultural production based on data from the earlier study. This study uses geographic and meteorological data to anticipate winter wheat production. It is motivated by this data science issue. The project’s goal is to find a solution to the cost loss issue. Actual agricultural data is used to build the models, which are then evaluated on samples. Using the vegetable yield forecasting model, end users (agriculturalist) may foresee crop production as they plant crops on agricultural land. The Linear Regression Algorithm method is used to forecast results with accuracy. The decision-making model’s creation will be aided by the availability of a sizable dataset.

Smart Health Prediction and Drug Recommendation Using Data Mining

by Joel Robinson and International Journal of Scientific Research in Science, Engineering and Technology IJSRSET

International Journal of Scientific Research in Science, Engineering and Technology, 2023

To ensure that the citizen and community are alive and in good health in the age of digital techn... more To ensure that the citizen and community are alive and in good health in the age of digital technology, the world must establish an excellent health system. Users of the system can communicate their symptoms and problems. After that, it analyses the user's symptoms to look for any potential illnesses. Here, we employ some clever data mining algorithms to identify the ailment that might be most accurately linked to the patient's symptoms. In the event that the system is unable to deliver accurate findings, it tells the user of the disease or ailment it believes the user's symptoms are related to. If a user's symptoms do not precisely match any condition in our database, it displays diseases that the user may likely have based on those symptoms. Together with feedback, contacts, and an administrator dashboard for system management, it also includes the doctor's address. According to this study, a data mining algorithm should be used to construct an effective health prediction system for patients.

Joel Robinson

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