Precision agriculture employs cutting-edge technologies to increase agricultural productivity
while reducing adverse impacts on the environment. Precision agriculture is a farming …

Inertial sensing is used in many applications and platforms, ranging from day-to-day devices
such as smartphones to very complex ones such as autonomous vehicles. In recent years …

In orchards, tree-level localization of robots is critical for smart agriculture applications like
precision disease management and targeted nutrient dispensing. However, prior solutions …

Machine learning at the extreme edge has enabled a plethora of intelligent, time-critical, and
remote applications. However, deploying interpretable artificial intelligence systems that can …

Multipath is recognized as one of the major error sources for GNSS urban navigation. This
study proposes a random forest (RF)-based multipath parameter estimator that uses random …

Inertial navigation provides a small footprint, low-power, and low-cost pathway for
localization in GPS-denied environments on extremely resource-constrained Internet-of …

Tiny machine learning has enabled Internet of Things platforms to make intelligent
inferences for time-critical and remote applications from unstructured data. However …

This thesis presents a method based on neural networks and Kalman filters for estimating
the position of a person carrying a mobile device (ie, cell phone or tablet) that can …