Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods

L He, W Fang, G Zhao, Z Wu, L Fu, R Li… - … and Electronics in …, 2022 - Elsevier
Orchard pre-harvest yield data is important for fruit growers, which can be used for economic
benefit evaluation, management mode adjustment and so on. However, traditional manual …

A systematic review of citrus disease perceptions and fruit grading using machine vision

S Palei, SK Behera, PK Sethy - Procedia Computer Science, 2023 - Elsevier
Citrus is one of the most commonly farmed and popular fruit crops globally. Citrus fruits are
high in vitamins, minerals, and dietary fibre, which are essential for overall health. Oranges …

Transforming unmanned pineapple picking with spatio-temporal convolutional neural networks

F Meng, J Li, Y Zhang, S Qi, Y Tang - Computers and Electronics in …, 2023 - Elsevier
Automated pineapple harvesting has emerged as a prominent prospective development
within the agricultural domain. Nevertheless, the intricate growth conditions that pineapples …

A litchi fruit recognition method in a natural environment using RGB-D images

L Yu, J Xiong, X Fang, Z Yang, Y Chen, X Lin… - Biosystems …, 2021 - Elsevier
Highlights•A method to recognize different varieties of litchis effectively was
proposed.•Visual system was designed to avoid fruit misjudgment due to uneven …

Fruit sorting robot based on color and size for an agricultural product packaging system

T Dewi, P Risma, Y Oktarina - Bulletin of Electrical Engineering and …, 2020 - beei.org
Indonesia's location in the equator gives an ideal condition for agriculture. However,
agriculture suffers the issue of old farming due to a lack of youth interest working in this …

Automatic detection of single ripe tomato on plant combining faster R-CNN and intuitionistic fuzzy set

C Hu, X Liu, Z Pan, P Li - IEEE Access, 2019 - ieeexplore.ieee.org
Fast and accurate detection of ripe tomatoes on plant, which replaces manual labor with a
robotic vision-based harvesting system, is a challenging task. Tomatoes in adjacent …

Individual rubber tree segmentation based on ground-based LiDAR data and faster R-CNN of deep learning

J Wang, X Chen, L Cao, F An, B Chen, L Xue, T Yun - Forests, 2019 - mdpi.com
Rubber trees in southern China are often impacted by natural disturbances that can result in
a tilted tree body. Accurate crown segmentation for individual rubber trees from scanned …

Computer vision-based localisation of picking points for automatic litchi harvesting applications towards natural scenarios

J Zhuang, C Hou, Y Tang, Y He, Q Guo, Z Zhong… - Biosystems …, 2019 - Elsevier
Highlights•An accurate picking point localisation method for litchi harvesting is
proposed.•Iterative Retinex compensates the lightness distribution of images adaptively.•Re …

Mechanical harvesting of selected temperate and tropical fruit and nut trees

L Afsah‐Hejri, T Homayouni, A Toudeshki… - Horticultural …, 2022 - Wiley Online Library
Manual harvesting of fruits is an expensive, time‐consuming, and labor‐intensive operation.
Due to labor shortages in the late 1950s, mechanical harvesters were developed to reduce …

Detection of dense Citrus fruits by combining coordinated attention and cross-scale connection with weighted feature fusion

X Liu, G Li, W Chen, B Liu, M Chen, S Lu - Applied Sciences, 2022 - mdpi.com
The accuracy detection of individual citrus fruits in a citrus orchard environments is one of
the key steps in realizing precision agriculture applications such as yield estimation, fruit …