Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

[HTML][HTML] A review on UAV-based applications for precision agriculture

DC Tsouros, S Bibi, PG Sarigiannidis - Information, 2019 - mdpi.com
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …

Remote sensing in agriculture—accomplishments, limitations, and opportunities

S Khanal, K Kc, JP Fulton, S Shearer, E Ozkan - Remote sensing, 2020 - mdpi.com
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …

High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms

X **, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery

LP Osco, MS De Arruda, JM Junior, NB Da Silva… - ISPRS Journal of …, 2020 - Elsevier
Visual inspection has been a common practice to determine the number of plants in
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …

[HTML][HTML] Leaf nitrogen concentration and plant height prediction for maize using UAV-based multispectral imagery and machine learning techniques

LP Osco, JM Junior, APM Ramos, DEG Furuya… - Remote Sensing, 2020 - mdpi.com
Under ideal conditions of nitrogen (N), maize (Zea mays L.) can grow to its full potential,
reaching maximum plant height (PH). As a rapid and nondestructive approach, the analysis …

[HTML][HTML] A weakly supervised deep learning framework for sorghum head detection and counting

S Ghosal, B Zheng, SC Chapman, AB Potgieter… - Plant …, 2019 - spj.science.org
The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the
distribution of crop-heads in varying branching arrangements. Therefore, counting the head …

Towards reducing chemical usage for weed control in agriculture using UAS imagery analysis and computer vision techniques

R Sapkota, J Stenger, M Ostlie, P Flores - Scientific reports, 2023 - nature.com
Currently, applying uniform distribution of chemical herbicide through a sprayer without
considering the spatial distribution information of crops and weeds is the most common …