Vision systems for harvesting robots: Produce detection and localization

LE Montoya-Cavero, RD de León Torres… - … and electronics in …, 2022 - Elsevier
In the last few years, the use of artificial intelligence and technological advances such as
deep learning, new 3D-capable sensors, and edge computing embedded systems have …

[HTML][HTML] Fruit sizing using AI: a review of methods and challenges

JC Miranda, J Gené-Mola, M Zude-Sasse… - Postharvest Biology and …, 2023 - Elsevier
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning

R Chen, C Zhang, B Xu, Y Zhu, F Zhao, S Han… - … and Electronics in …, 2022 - Elsevier
As one of the world's most popular fruit, apple tree yield prediction before harvest plays an
important role in optimizing orchard nutrition management, especially at the individual tree …

[HTML][HTML] In-field apple size estimation using photogrammetry-derived 3D point clouds: Comparison of 4 different methods considering fruit occlusions

J Gené-Mola, R Sanz-Cortiella, JR Rosell-Polo… - … and electronics in …, 2021 - Elsevier
In-field fruit monitoring at different growth stages provides important information for farmers.
Recent advances have focused on the detection and location of fruits, although the …

Apple shape detection based on geometric and radiometric features using a LiDAR laser scanner

N Tsoulias, DS Paraforos, G Xanthopoulos… - Remote Sensing, 2020 - mdpi.com
Yield monitoring systems in fruit production mostly rely on color features, making the
discrimination of fruits challenging due to varying light conditions. The implementation of …

Comparison of aerial and ground 3D point clouds for canopy size assessment in precision viticulture

A Pagliai, M Ammoniaci, D Sarri, R Lisci, R Perria… - Remote Sensing, 2022 - mdpi.com
In precision viticulture, the intra-field spatial variability characterization is a crucial step to
efficiently use natural resources by lowering the environmental impact. In recent years …

An efficient online citrus counting system for large‐scale unstructured orchards based on the unmanned aerial vehicle

Z Zheng, J **ong, X Wang, Z Li, Q Huang… - Journal of Field …, 2023 - Wiley Online Library
The accurate detection and counting of fruits in natural environments are key steps for the
early yield estimation of orchards and the realization of smart orchard production …

A method of apple image segmentation based on color-texture fusion feature and machine learning

C Zhang, K Zou, Y Pan - Agronomy, 2020 - mdpi.com
Apples are one of the most kind of important fruit in the world. China has been the largest
apple producing country. Yield estimating, robot harvesting, precise spraying are important …

Photogrammetry (SfM) vs. terrestrial laser scanning (tls) for archaeological excavations: mosaic of cantillana (Spain) as a case study

C Marín-Buzón, AM Pérez-Romero, MJ León-Bonillo… - Applied Sciences, 2021 - mdpi.com
The discovery of a Roman mosaic from the 2nd century AD in Cantillana (Seville) generated
interest and the need for exhaustive documentation, so that it could be recreated with real …

A ground-based platform for reliable estimates of fruit number, size, and color in stone fruit orchards

MS Islam, A Scalisi, MG O'Connell, P Morton… - …, 2022 - journals.ashs.org
Automatic in-field fruit recognition techniques can be used to estimate fruit number, fruit size,
fruit skin color, and yield in fruit crops. Fruit color and size represent two of the most …