Rice has a huge impact on socio-economic growth, and ensuring its sustainability and
optimal utilization is vital. This review provides an insight into the role of smart farming in …

Aim: New Support Vector Machine and Artificial Neural Network are used to construct a plant
wall system for indoor climate management. Materials and Methods: To detect indoor …

The primary source of income and the driver of GDP growth in many nations is agriculture. In
earlier times, the majority of agricultural areas were cultivated using cow dung as fertiliser to …

The objective of the research study is to predict and analyze the flight ticket fare using
machine learning algorithm Random Forest Regressor in comparison with Decision tree …

Proposed study will examine the efficacy of removing real-time rain streaks from an image
using novel NB and LR with the support of ML. Materials and Methods: A Realistic Single …

Using a variety of various techniques, this research is to transform OCR-based visual text to
spoken language. The image dataset was used for novel K-Nearest Neighbours (KNN) and …

When pest infestations damage plants and crops, it affects the country's agricultural output.
In order to detect any signs of disease, farmers or specialists of ten keep a constant eye on …

Worldwide, wheat ranks third in both harvesting and consumption of grains. Nevertheless,
illnesses ruin a significant portion of wheat crops. Wheat crops are vulnerable to more than …

Utilizing random forest algorithms to predict cardiac illness and evaluating their performance
in comparison to that of logistic regression will be the major focus of this research project. In …

To enhance the Music genre classification using novel Support Vector clustering Algorithm
and K-Nearest Neighbors Classifier with improved accuracy. Two groups such as novel …