A review on weed detection using ground-based machine vision and image processing techniques

A Wang, W Zhang, X Wei - Computers and electronics in agriculture, 2019 - Elsevier
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …

3-D imaging systems for agricultural applications—a review

M Vázquez-Arellano, HW Griepentrog, D Reiser… - Sensors, 2016 - mdpi.com
Efficiency increase of resources through automation of agriculture requires more information
about the production process, as well as process and machinery status. Sensors are …

Combining plant height, canopy coverage and vegetation index from UAV-based RGB images to estimate leaf nitrogen concentration of summer maize

J Lu, D Cheng, C Geng, Z Zhang, Y Xiang, T Hu - Biosystems Engineering, 2021 - Elsevier
Rapid and accurate monitoring of crop plant height (PH), canopy coverage (CC), and leaf
nitrogen concentration (LNC) is essential for precision management of irrigation and …

[HTML][HTML] A comprehensive review of machine vision systems and artificial intelligence algorithms for the detection and harvesting of agricultural produce

G Dhanush, N Khatri, S Kumar, PK Shukla - Scientific African, 2023 - Elsevier
Every nation's economic development depends heavily on agriculture. Fulfilling the current
population's need for food is becoming increasingly difficult because of factors including …

Agricultural robotics: Unmanned robotic service units in agricultural tasks

FAA Cheein, R Carelli - IEEE industrial electronics magazine, 2013 - ieeexplore.ieee.org
The application of agricultural machinery in precision agriculture has experienced an
increase in investment and research due to the use of robotics applications in the machinery …

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: example for sorghum breeding

P Hu, SC Chapman, X Wang, A Potgieter… - European Journal of …, 2018 - Elsevier
Plant height is an essential trait to evaluate in grain sorghum, being positively associated
with potential grain yield. Standard manual measures of plant height for large breeding trials …

Real-time weed-crop classification and localisation technique for robotic weed control in lettuce

R Raja, TT Nguyen, DC Slaughter… - Biosystems Engineering, 2020 - Elsevier
Highlights•A real-time in-row weed-crop detection and classification algorithm was
proposed.•A novel crop signaling technique was introduced to distinguish crops from …

Analysis on status and development trend of intelligent control technology for agricultural equipment

L Chengliang, L Hongzhen, L Yanming… - Nongye Jixie Xuebao …, 2020 - nyjxxb.net
Intelligent control is the key technology for the intelligentization of agricultural equipment.
From the aspects of intelligent perception, intelligent control, intelligent decision-making …

Automated crop plant detection based on the fusion of color and depth images for robotic weed control

J Gai, L Tang, BL Steward - Journal of Field Robotics, 2020 - Wiley Online Library
Robotic weeding enables weed control near or within crop rows automatically, precisely and
effectively. A computer‐vision system was developed for detecting crop plants at different …

Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison

W Kazmi, S Foix, G Alenyà, HJ Andersen - ISPRS journal of …, 2014 - Elsevier
In this article we analyze the response of Time-of-Flight (ToF) cameras (active sensors) for
close range imaging under three different illumination conditions and compare the results …