Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely
studied and applied in various fields including agriculture. Agriculture is the most important …

Potatoes are an important crop in the world; they are the main source of food for a large
number of people globally and also provide an income for many people. The true …

This study introduces the Worst Moth Disruption Strategy (WMFO) to enhance the Moth Fly
Optimization (MFO) algorithm, specifically addressing challenges related to population …

Artificial intelligence, specifically machine learning (ML), serves as a valuable tool for
decision support in crop management under ongoing climate change. However, ML …

Crop improvement and production domains encounter large amounts of expanding data
with multi-layer complexity that forces researchers to use machine-learning approaches to …

Early diagnosis of breast cancer is exceptionally important in signifying the treatment results,
of women's health. The present study outlines a novel approach for analyzing breast cancer …

Analyzing customer shopping habits in physical stores is crucial for enhancing the retailer–
customer relationship and increasing business revenue. However, it can be challenging to …

This study aims to construct a comprehensive evaluation model for efficiently assessing
appropriate technologies within green buildings. Initially, an Internet of Things (IoT)-based …

Effective crop monitoring and accurate yield estimation are fundamental for informed
decision-making in agricultural management. In this context, the present research focuses …

Accurate pre-harvest crop yield estimation is vital for agricultural sustainability and economic
stability. The existing yield estimating models exhibit deficiencies in insufficient examination …