[HTML][HTML] Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation

P Gatou, X Tsiara, A Spitalas, S Sioutas, G Vonitsanos - Sensors, 2024 - mdpi.com
In the last few years, the agricultural field has undergone a digital transformation,
incorporating artificial intelligence systems to make good employment of the growing volume …

Active perception fruit harvesting robots—A systematic review

SA Magalhães, AP Moreira, FN Santos… - Journal of Intelligent & …, 2022 - Springer
This paper studies the state-of-the-art of active perception solutions for manipulation in
agriculture and suggests a possible architecture for an active perception system for …

Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines

P Guadagna, M Fernandes, F Chen, A Santamaria… - Precision …, 2023 - Springer
Even though mechanization has dramatically decreased labor requirements, vineyard
management costs are still affected by selective operations such as winter pruning. Robotic …

Unscrambling spectral interference and matrix effects in Vitis vinifera Vis-NIR spectroscopy: Towards analytical grade 'in vivo'sugars and acids quantification

RC Martins, TG Barroso, P Jorge, M Cunha… - … and Electronics in …, 2022 - Elsevier
Analytical grade'in vivo'plant metabolic quantification using spectroscopy is a key enabling
technology for precision agriculture. Current methods such as PLS, ANN and LS-SVM are …

[HTML][HTML] Kinematic-based multi-objective design optimization of a grapevine pruning robotic manipulator

F Molaei, S Ghatrehsamani - AgriEngineering, 2022 - mdpi.com
Annual cane pruning of grape vineyards is a time-consuming and labor-intensive job, but no
mechanized or automatic way has been developed to do it yet. Robotic pruning can be a …

Performance analysis of path planning algorithms for fruit harvesting robot

S Zeeshan, T Aized - Journal of Biosystems Engineering, 2023 - Springer
Purpose Path planning is an essential part in designing of an agricultural robot. The path
planning algorithms for fruit harvesting robots vary in performance, based on different …

An overview of pruning and harvesting manipulators

V Tinoco, MF Silva, FN Santos, A Valente… - Industrial Robot: the …, 2022 - emerald.com
Purpose The motivation for robotics research in the agricultural field has sparked in
consequence of the increasing world population and decreasing agricultural labor …

In-Depth Evaluation of Automated Fruit Harvesting in Unstructured Environment for Improved Robot Design

S Zeeshan, T Aized, F Riaz - Machines, 2024 - mdpi.com
Using modern machines like robots comes with its set of challenges when encountered with
unstructured scenarios like occlusion, shadows, poor illumination, and other environmental …

Benchmark of sampling-based optimizing planners for outdoor robot navigation

F Atas, G Cielniak, L Grimstad - International Conference on Intelligent …, 2022 - Springer
Abstract This paper evaluates Sampling-Based Optimizing (SBO) planners from the Open
Motion Planning Library (OMPL) in the context of mobile robot navigation in outdoor …

[PDF][PDF] Benchmarking of Motion Planning Algorithms with Real-time 3D Occupancy Grid Map for an Agricultural Robotic Manipulator

SA Vaghefi, MF Ibrahim… - International Journal of …, 2022 - researchgate.net
The performance evaluation of motion planning algorithms for agricultural robotic
manipulators is commonly performed via benchmarking platforms. However, creating a …