Predicting crop yields is one of agriculture's most challenging issues. It is crucial in making
national, provincial, and regional choices and estimates the government to meet the food …

Abstract Internet of Things (IoT) frameworks generates data for large and remote agricultural
areas through sensors and use this data for crop predictions by several machine learning …

Crop recommendation systems driven by IoT data in smart agriculture is a valuable tool in
contemporary farming approaches. Such systems increasingly rely on machine learning …

Crop recommendation system is of due importance to the farmers as well as to the country
as it reflects the economic growth of the country. Random forest machine learning classifier …

The most crucial element affecting cryogenic systems' energy efficiency is heat exchangers.
In this article, a model for cryogenic plate-fin heat exchanger (PFHE) under thermal …

Random Forest-RF, Support Vector Machine-SVM and Decision Tree-DT Machine learning
classifiers proposed and implemented to develop seed prediction model in Visual Studio …

Visually impaired people (VIPs) have trouble doing daily living activities. Individuals who are
visually impaired (VIPs) make up an important percentage of the population. Available …

Blindness often known as the inability for vision, Blindness continues to be a serious
problem despite several innovations. Existing Blind assistance systems are bulky, more …

In recent years, crop recommendation has become a significant research area that utilizes
environmental characteristics of humidity, temperature, soil Potential of Hydrogen (pH) and …

Digital transformation has revolutionized business operations and customer service with the
rise of automation. This research aims to quantify the influence of Digital Transformation …