Agriculture 4.0 upgrades traditional production methods and world agriculture strategies to
an optimized value chain using a range of emerging technologies that enhance disruptive …

Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …

Abstract The Internet of Things (IoT) and the relevant technologies have had a significant
impact on smart farming as a major sub-domain within the field of agriculture. Modern …

Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …

Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

Industry 4.0 and its technologies can potentially increase business competitiveness in the
age of digital transformation through the implementation of its technologies. These digital …

The identification of plant disease is an imperative part of crop monitoring systems.
Computer vision and deep learning (DL) techniques have been proven to be state-of-the-art …

The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …

Agriculture 4.0 technologies like the internet of things, machine learning, unmanned aerial
vehicles, big data analytics, robotics, and artificial intelligence can benefit all stages and …