Machine Learning-Based Price Prediction for Cows
Journal Title: American Journal of Agricultural Science, Engineering, and Technology - Year 2021, Vol 5, Issue 1
Abstract
As Bangladesh is an agricultural country, cows have a great influence on our economy. However, there is 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 cow picture. Cow images were collected from different online e-commerce sites which are selling cows and mainly attempted to predict the price range of cows based on the images of the cows. Cows are divided into four classes based on their price range namely low, medium, high, and very high classes. A machine learning-driven approach has been taken for the prediction where convolutional neural network (CNN) is used as an image classifier and linear regression is used for predicting the prices. Our result shows that the price range of a cow can be predicted with an accuracy of 70%.
Authors and Affiliations
Md Atiquer Rahman,Md Alamgir Kabir,Md. Ezazul Haque,B M Mainul Hossain,
Keywords
Related Articles
- EP ID EP709027
- DOI https://doi.org/10.54536/ajaset.v5i1.63
- Views 98
- Downloads 0
Innovative Solutions to Increase Dietary Diversity of Rural Households
Today, it is becoming important to achieve food security in all countries. This article aims to find sustainable and innovative ways to improve household dietary diversity score (HDDS). Analyzes were carried out based on...
Combining Ability of Cowpea (Vigna unguiculata (L) Walp) Genotypes for Resistance to Cowpea Bacterial Blight in Uganda
The low productivity of cowpea is partly attributed to a number of constraints including diseases such as cowpea bacterial blight (CoBB). Cowpea bacterial blight has the capacity to cause up to 92% yield loss under sever...
Agriculture Industry Workers Perspective: The Attractiveness of Agribusiness as a Place to Work
This descriptive comparative research examined agribusiness as an attractive place to work from the perspective of agriculture industry professionals, intending to increase youth motivation, particularly among many newly...
An Assessment of the Impact of Industrialization on Physical Environment and Socio-economic Conditions around the Alipur Industrial Area, Bangladesh
Massive industrialization promotes economic growth and causes environmental pollution and degradation. The purpose of this research is to determine the impact of industrialization on the physical environment and socio-ec...
Prediction of Wheat Storage Process Under Climate Change: A Case Study of Northwestern Regions of Tunisia
In this work, a simulation of the climate change impact on the wheat grain storage process in Northwestern regions of Tunisia was investigated based on grain aeration systems. This simulation was conducted by implement...