7 accepted papers
Accurate soil moisture data is crucial to precise irrigation and manual deployment of existing sensors is labor-intensive and expensive, especially in cornfield environments. We present DRILL, an unmanned ground vehicle (UGV) for autonomously deploying and reading low-cost biodegradable soil moistur…
In this paper, we present an in-row and under-canopy autonomous navigation system for cornfields, called the Purdue Agricultural Navigation System or P-AgNav. Our navigation framework is primarily based on range view images from a 3D light detection and ranging (LiDAR) sensor. P-AgNav is designed fo…
In this paper, we present an in-row and under-canopy autonomous navigation system for cornfields, called the Purdue Agricultural Navigation System or P-AgNav. Our navigation framework is primarily based on range view images from a 3D light detection and ranging (LiDAR) sensor. P-AgNav is designed fo
In this paper, we present an in-row and under-canopy Simultaneous Localization and Mapping (SLAM) framework called the Purdue AgSLAM or P-AgSLAM which is designed for robot pose estimation and agricultural monitoring in cornfields. Our SLAM approach is primarily based on a 3D light detection and ran
Automating leaf detection and physical leaf sample collection using Internet of Things (IoT) technologies is a crucial task in precision agriculture. In this paper, we present a deep learning-based approach for detecting and segmenting crop leaves for robotic physical sampling. We discuss a method f…
In this work, we present a novel agricultural robot called the Purdue AgBot or P-AgBot that has been designed for in-row and under canopy crop monitoring and physical sampling. We suggest approaches to autonomous navigation, crop monitoring, and crop sampling that can be applied in crop rows and und
Current self-driving cars can perform precise localization and generate collision-free trajectories using high definition (HD) maps which provide accurate road information. Therefore, keeping HD maps up to date is important for safe autonomous driving. In general, automotive HD maps are built by the