This paper provides a review of research on the application of data mining techniques for
decision making in agriculture. The paper reports the application of a number of data mining …

Food production in India is largely dependent on cereal crops including rice, wheat and
various pulses. The sustainability and productivity of rice growing areas is dependent on …

This study compares time series and machine learning models for inflation forecasting.
Empirical evidence from the USA between 1984 and 2014 suggests that out of sixteen …

Predicting stock market price is considered as a challenging task of financial time series
analysis, which is of great interest to stock investors, stock traders and applied researchers …

One of the problems related to the banking system is Automated Teller Machine (ATM) cash
demand forecasting. If an ATM faces a shortage of cash, it will face the decline of bank …

Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods
were used in this study to estimate the LA of four plum genotypes, including three …

Rice is the principal and dominant crop of India after wheat. India being at second position in
the world after China often cited as main contributor to the rice production and accounts for …

Chapter 5 Page 1 http://dx.doi.org/10.19103/AS.2020.0069.06 © Burleigh Dodds Science
Publishing Limited, 2020. All rights reserved. Chapter 5 Advances in artificial intelligence (AI) for …

Abstract Support Vector Machine (SVM) which is used to solve regression problems is
referred to as Support Vector Regression (SVR). This work mainly focuses on improving the …

Machine learning has developed with huge information innovations and best outline to
make new opportunity for data science in the multi-disciplinary agriculture domain. In this …