Abstract Smart Irrigation System is a complex concept used to control, monitor and automate
the irrigation of yields by integrating artificial intelligence techniques such as Machine …

The integration of machine learning (ML) with big data has revolutionized industries by
enabling the extraction of valuable insights from vast and complex datasets. This …

Drip irrigation's potential to conserve irrigation water by around 25% compared to
conventional methods is widely acknowledged. Nevertheless, the influence of varied …

In order to effectively support wheat breeding, farmland ridge segmentation can be used to
visualize the size and spacing of a wheat field. At the same time, accurate ridge information …

The concept of “smart agriculture” relies on the integration of sensors within an Internet of
Things (IoT) network. Machine learning (ML) algorithms are integrated at various levels of …

Agriculture holds a crucial position in maintaining livelihoods and securing food sources,
particularly in nations such as Ethiopia, where a substantial portion of the population …

This paper introduces a pioneering approach to modernize agricultural practices through the
integration of Artificial Neural Networks (ANN) into irrigation management. The primary …

A digital transformation is necessary for agriculture to achieve sustainability and increase
productivity. With the use of IoT, high-tech detectors and helicopters can monitor crop health …

In the agricultural sector, plant diseases are responsible for certain economic losses. So,
monitoring the plant's health and detecting plant diseases in the early stages are important …

This research explores the development of a prototype Internet of Things (IoT)-enabled
smart irrigation system and investigates its potential integration with machine learning (ML) …