Obstacle Detection System for Agricultural Mobile Robot Application Using RGB-D Cameras

A Convolutional Neural Network-Based Method for Corn Stand Counting in the Field

(2021) Le Wang et al.   SENSORS

Detection of typical obstacles in orchards based on deep convolutional neural network

(2021) Yang Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

3D Reconstruction of Non-Rigid Plants and Sensor Data Fusion for Agriculture Phenotyping

(2021) Gustavo Scalabrini Sampaio et al.   SENSORS

Control strategy of stable walking for a hexapod wheel-legged robot

(2020) Zhihua Chen et al.   ISA TRANSACTIONS

Platform for evaluating sensors and human detection in autonomous mowing operations

(2017) P. Christiansen et al.   PRECISION AGRICULTURE

FieldSAFE: Dataset for Obstacle Detection in Agriculture

(2017) Mikkel Kragh et al.   SENSORS

Vision-based Obstacle Detection and Navigation for an Agricultural Robot

(2016) David Ball et al.   Journal of Field Robotics

Side-to-side 3D coverage path planning approach for agricultural robots to minimize skip/overlap areas between swaths

(2016) I.A. Hameed et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

(2016) Peter Christiansen et al.   SENSORS

3-D Imaging Systems for Agricultural Applications—A Review

(2016) Manuel Vázquez-Arellano et al.   SENSORS

Design and implementation of an automatic pressure-control system for a mobile sprayer for greenhouse applications

(2012) R. Gonzalez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH