[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 …

Deep-learning-based counting methods, datasets, and applications in agriculture: A review

G Farjon, L Huijun, Y Edan - Precision Agriculture, 2023 - Springer
The number of objects is considered an important factor in a variety of tasks in the
agricultural domain. Automated counting can improve farmers' decisions regarding yield …

Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms

J Villacrés, M Viscaino, J Delpiano… - … and Electronics in …, 2023 - Elsevier
The automated detection and counting of fruit in tree canopies is a key component of yield
estimation systems, which are indispensable for the precision management of modern …

Fruit sizing in orchard: A review from caliper to machine vision with deep learning

C Neupane, M Pereira, A Koirala, KB Walsh - Sensors, 2023 - mdpi.com
Forward estimates of harvest load require information on fruit size as well as number. The
task of sizing fruit and vegetables has been automated in the packhouse, progressing from …

Machine Vision—Moving from Industry 4.0 to Industry 5.0

M Tzampazaki, C Zografos, E Vrochidou… - Applied Sciences, 2024 - mdpi.com
The Fourth Industrial Revolution combined with the advent of artificial intelligence brought
significant changes to humans' daily lives. Extended research in the field has aided in both …

Fruit weight and yield estimation models for five avocado cultivars in Ethiopia

M Mokria, A Gebrekirstos, H Said… - Environmental …, 2022 - iopscience.iop.org
Abstract Avocado (Persea Americana Mill.) is an important tree crop and proved to be a very
rewarding commercial crop for export and local consumptions. Due to high local and global …

[HTML][HTML] Developing Machine Vision in Tree-Fruit Applications—Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting

C Neupane, KB Walsh, R Goulart, A Koirala - Sensors, 2024 - mdpi.com
Recent developments in affordable depth imaging hardware and the use of 2D
Convolutional Neural Networks (CNN) in object detection and segmentation have …

In-orchard sizing of mango fruit: 1. Comparison of machine vision based methods for on-the-go estimation

C Neupane, A Koirala, KB Walsh - Horticulturae, 2022 - mdpi.com
Estimation of fruit size on-tree is useful for yield estimation, harvest timing and market
planning. Automation of measurement of fruit size on-tree is possible using RGB-depth …

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 …

In-orchard sizing of mango fruit: 2. Forward estimation of size at harvest

MH Amaral, KB Walsh - Horticulturae, 2023 - mdpi.com
Forecast of tree fruit yield requires prediction of harvest time fruit size as well as fruit number.
Mango (Mangifera indica L.) fruit mass can be estimated from correlation to measurements …