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 …

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 …

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 …

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 …

As communication technologies and equipment evolve, smart assets become smarter. The
agricultural industry is also evolving in line with the implementation of modern …

More than 30% of corn is produced by the United States, which is the world's leading corn
producer. The deficiency in the corn leaf may influence crop yield manufacturing. Moreover …

Ensuring the security of germplasm resources is of great significance for the sustainable
development of agriculture and ecological balance. By combining the morphological …

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