Over the last few years, the research into agriculture has gained momentum, showing signs
of rapid growth. The latest to appear on the scene is bringing convenience in how …

There are many types of haricot beans, the nutrient consumed all over the world. Each type
differs in terms of features such as taste, size, economic value, etc. But even if they are …

The agricultural transformation in the last decade using artificial intelligence has led to
significant gains in productivity and profitability. The traditional machine learning …

This study proposes the machine learning based classification of medical plant leaves. The
total six varieties of medicinal plant leaves-based dataset are collected from the Department …

Seeds are the most fundamental and significant production tool in agriculture. They play a
critical role in boosting the output and revenue of agriculture. To achieve rapid identification …

Corn seed materials of different quality were imaged, and a method for defect detection was
developed based on a watershed algorithm combined with a two-pathway convolutional …

The current review examines the state of knowledge and research on machine learning (ML)
applications in horticultural production and the potential for predicting fresh produce losses …

The article presents the results of mathematical modeling based on the construction and use
of various images of the object, process or system. The research involves the study of the …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Current inspections of seed appearance quality are mainly performed manually, which is
time-consuming, tedious, and subjective, and creates difficulties in meeting the needs of …