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 …

Recognizing and authenticating wheat varieties is critical for quality evaluation in the grain
supply chain, particularly for methods for seed inspection. Recognition and verification of …

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

On-time seed variety recognition is critical to limit qualitative and quantitative yield loss and
asynchronous crop production. The conventional method is a subjective and error-prone …

Computer vision techniques have become important in agriculture and plant sciences due to
their wide variety of applications. In particular, the analysis of seeds can provide meaningful …

A fundamental aspect of cybersecurity is the detection of network intrusions, which pose a
significant threat to the confidentiality and integrity of sensitive data. Network Intrusion …

The article presents research on the application of image processing techniques and
convolutional neural networks (CNN) for the detection and measurement of seed sizes …

A superior crop yield is a vital part of the agricultural industry. The principal component for a
good yield is good quality seeds. Generally, seeds are sown without prior quality checks and …

Online learning concerns analyzing a continuous stream of transient data and progressively
updating the knowledge model without revisiting previously encountered examples. This …

The demand for efficient and accurate seed assessment is paramount in modern agriculture
to ensure good crop yield. This work presents a system for automated seed assaying which …