Deep Learning and computer vision have become potent agricultural technologies in recent
years. These technologies are essential for identifying hazardous plant leaf diseases …

This work focuses on a novel lightweight machine learning approach to the task of plant
disease classification, posing as a core component of a larger grow-light smart monitoring …

Cloud-based Object Storage Systems (OSS) are known for their scalability, durability,
availability, and concurrency. However, there is a noticable vaccum in open-source OSS for …

Agriculture has been crucial for centuries. Due to its revenue contribution, agriculture's
importance has grown throughout time. However, some counter factors prohibit us from …

Agriculture has played a significant role for many years. Its growing significance is
attributable to the money it has generated. The full advantages of crop cultivation are …

Potholes can be liable to endangering people's safety on the road through road accidents,
thereby bringing down the road's functionality. In this research, we present a road pothole …

The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their
reliability across numerous applications, underscoring the necessity for an in-depth …

Since massive numbers of images are now being communicated from, and stored in
different cloud systems, faster retrieval has become extremely important. This is more …

Rice is a crucial agricultural crop, but it is susceptible to various diseases. Although
Convolutional Neural Networks (CNN) excel in classifying plant diseases, their significant …

Widespread plant illnesses have a negative influence on crop production, so it is important
to diagnose them timely otherwise there is possibility that they can spread speedily and …