Deep learning constitutes a recent, modern technique for image processing and data
analysis, with promising results and large potential. As deep learning has been successfully …

Deep learning (DL) constitutes a modern technique for image processing, with large
potential. Having been successfully applied in various areas, it has recently also entered the …

Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

Computer vision is a consistent and advanced technique for image processing, with the
propitious outcome, and enormous potential. A computer vision has been strongly adopted …

With the rapidly increase of population every day, it has become a major issue to fulfill
everyone's need for food products (ie, vegetables, fruits, milk, wheat, etc.) due to limited …

Plant diseases are a major threat to farmers, consumers, environment and the global
economy. In India alone, 35% of field crops are lost to pathogens and pests causing losses …

Smart agriculture (SA), which combines the Internet of Things (IoT) with a variety of smart
devices including unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs) …

Abstract Convolutional Neural Networks (CNNs) are essential tools in many image
recognition tasks. In this article we propose using a Deep Convolutional Neural Network for …

Real-time detection and identification of orchard pests is related to the economy of the
orchard industry. Using lab picture collections and pictures from web crawling, a dataset of …

In recent years, deep learning algorithm has been used in many applications mainly in
image processing of object detection and classification. The use of image processing …