Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

The energy industry worldwide is today confronted with several challenges, including
heightened levels of consumption and inefficiency, volatile patterns in demand and supply …

Wheat leaf diseases are considered to be the foremost threat to wheat yield. In the realm of
crop disease detection, convolutional neural networks (CNNs) have emerged as important …

Accurate classification of weed species in crop plants plays a crucial role in precision
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …

Agriculture, playing a vital role in human life, constitutes over 60 percent of the economy in
many developing countries. Despite its significance in providing food and employment …

In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …

Soil temperature is one of the most significant parameters that plays a crucial role in glacier
energy, dynamics of mass balance, processes of surface hydrological, coaction of glacier …

Potato farming has problems in the form of diseases that often attack potato leaves. This
disease can affect potato crop production and can even result in crop failure. Early detection …

Defect detection is a critical component in ensuring the highest quality of printed circuit
board manufacture. The work investigates the application of transfer learning to identify …

Zero-day attacks pose a paramount challenge to contemporary cybersecurity experts. These
exploits capitalize on undisclosed security vulnerabilities within software or operating …