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Fruit detection and recognition based on deep learning for automatic harvesting: An overview and review
F **ao, H Wang, Y Xu, R Zhang - Agronomy, 2023 - mdpi.com
Continuing progress in machine learning (ML) has led to significant advancements in
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …
agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit …
Recognition and localization methods for vision-based fruit picking robots: A review
The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …
functionality, intelligence, and remote interactivity of harvesting robots in complex …
Dynamic visual servo control methods for continuous operation of a fruit harvesting robot working throughout an orchard
Fruit-picking robots are crucial for achieving efficient orchard harvesting. To genuinely meet
the commercial production needs of farmers, the new generation of fruit-picking robots must …
the commercial production needs of farmers, the new generation of fruit-picking robots must …
Faster R–CNN–based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting
Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …
harvest and specifically suitable for robotic picking, where accurate apple detection and …
Fast implementation of real-time fruit detection in apple orchards using deep learning
To perform robust and efficient fruit detection in orchards is challenging since there are a
number of variances in the working environments. Recently, deep-learning have shown a …
number of variances in the working environments. Recently, deep-learning have shown a …
Applications of deep-learning approaches in horticultural research: a review
B Yang, Y Xu - Horticulture Research, 2021 - academic.oup.com
Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …
[HTML][HTML] Accurate detection and depth estimation of table grapes and peduncles for robot harvesting, combining monocular depth estimation and CNN methods
Precision agriculture is a growing field in the agricultural industry and it holds great potential
in fruit and vegetable harvesting. In this work, we present a robust accurate method for the …
in fruit and vegetable harvesting. In this work, we present a robust accurate method for the …
Detection of fruit-bearing branches and localization of litchi clusters for vision-based harvesting robots
Litchi clusters in fruit groves are randomly scattered and occur irregularly, so it is difficult to
detect and locate the fruit-bearing branches of multiple litchi clusters at one time. This is a …
detect and locate the fruit-bearing branches of multiple litchi clusters at one time. This is a …
AGHRNet: An attention ghost-HRNet for confirmation of catch‐and‐shake locations in jujube fruits vibration harvesting
The development of an intelligent jujube fruit harvesting device is a critical step in achieving
the whole mechanization process. Catch‐and‐shake harvesting, as an efficient and stable …
the whole mechanization process. Catch‐and‐shake harvesting, as an efficient and stable …
A review of target recognition technology for fruit picking robots: from digital image processing to deep learning
X Hua, H Li, J Zeng, C Han, T Chen, L Tang, Y Luo - Applied Sciences, 2023 - mdpi.com
Machine vision technology has dramatically improved the efficiency, speed, and quality of
fruit-picking robots in complex environments. Target recognition technology for fruit is an …
fruit-picking robots in complex environments. Target recognition technology for fruit is an …