A review of convolutional neural network applied to fruit image processing

J Naranjo-Torres, M Mora, R Hernández-García… - Applied Sciences, 2020 - mdpi.com
Agriculture has always been an important economic and social sector for humans. Fruit
production is especially essential, with a great demand from all households. Therefore, the …

Recent advancements in fruit detection and classification using deep learning techniques

CC Ukwuoma, Q Zhiguang… - Mathematical …, 2022 - Wiley Online Library
Recent advances in computer vision have allowed broad applications in every area of life,
and agriculture is not left out. For the agri‐food industry, the use of advanced technology is …

[HTML][HTML] Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning

Z Gao, Y Shao, G Xuan, Y Wang, Y Liu… - Artificial Intelligence in …, 2020 - Elsevier
Strawberry is one of the popular fruits with numerous nutrients. The ripeness of this fruits
was estimated using the hyperspectral imaging (HSI) system in field and laboratory …

Detection of mulberry ripeness stages using deep learning models

SHM Ashtiani, S Javanmardi, M Jahanbanifard… - IEEE …, 2021 - ieeexplore.ieee.org
Ripeness classification is one of the most challenging tasks in the postharvest management
of mulberry fruit. The risks of microbial contamination and human error in manual sorting are …

[HTML][HTML] Image-based size estimation of broccoli heads under varying degrees of occlusion

PM Blok, EJ van Henten, FK van Evert… - Biosystems Engineering, 2021 - Elsevier
The growth and the harvestability of a broccoli crop is monitored by the size of the broccoli
head. This size estimation is currently done by humans, and this is inconsistent and …

Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control

V Rajendran, B Debnath, S Mghames… - Journal of Field …, 2023 - Wiley Online Library
This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

[HTML][HTML] Symmetry-based 3D shape completion for fruit localisation for harvesting robots

Y Ge, Y Xiong, PJ From - biosystems engineering, 2020 - Elsevier
Highlights•A shape completion method based on symmetry for fruits.•Completion of partial
3D points based on optimal hypothetical plane.•Method implementation on machine vision …

Determining strawberries' varying maturity levels by utilizing image segmentation methods of improved deeplabv3+

C Cai, J Tan, P Zhang, Y Ye, J Zhang - Agronomy, 2022 - mdpi.com
Aiming to determine the inaccurate image segmentation of strawberries with varying maturity
levels due to fruit adhesion and stacking, this study proposed a strawberry image …

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 …

Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage

IA de Moraes, SB Junior, DF Barbin - Food Research International, 2024 - Elsevier
The classification of carambola, also known as starfruit, according to quality parameters is
usually conducted by trained human evaluators through visual inspections. This is a costly …