Machine Learning-Based Price Prediction for Cows

نویسندگان

چکیده

As Bangladesh is an agricultural country, cows have a great influence on our economy. However, there no cow-related work or dataset accessible online in the fields of machine learning and artificial intelligence. This study aims to predict cow price ranges using any picture. Cow images were collected from different e-commerce sites which are selling mainly attempted range based cows. Cows divided into four classes their namely low, medium, high, very high classes. A learning-driven approach has been taken for prediction where convolutional neural network (CNN) used as image classifier linear regression predicting prices. Our result shows that can be predicted with accuracy 70%.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

متن کامل

Price Prediction Evolution: from Economic Model to Machine Learning

By Hugh Ren (hughrxy), Xiangguang Zheng (zhengxg3), Erico Cruz Lemus (ecruzlem) Abstract This report is intended to illustrate timeline progress in the research on the trade market predictions using macroeconomic features to other different machine learning approaches. We design different algorithms, we prove them and we validate each result using as a reference the index S&P 500 as the main da...

متن کامل

Vehicle Price Prediction System using Machine Learning Techniques

This paper presents a vehicle price prediction system by using the supervised machine learning technique. The research uses multiple linear regression as the machine learning prediction method which offered 98% prediction precision. Using multiple linear regression, there are multiple independent variables but one and only one dependent variable whose actual and predicted values are compared to...

متن کامل

Time series forecasting of Bitcoin price based on ARIMA and machine learning approaches

Bitcoin as the current leader in cryptocurrencies is a new asset class receiving significant attention in the financial and investment community and presents an interesting time series prediction problem. In this paper, some forecasting models based on classical like ARIMA and machine learning approaches including Kriging, Artificial Neural Network (ANN), Bayesian method, Support Vector Machine...

متن کامل

Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: American journal of agricultural science, engineering, and technology

سال: 2021

ISSN: ['2164-0920', '2158-8104']

DOI: https://doi.org/10.54536/ajaset.v5i1.63