Fast detection and location of longan fruits using UAV images

D Li, X Sun, H Elkhouchlaa, Y Jia, Z Yao, P Lin… - … and Electronics in …, 2021 - Elsevier
In agriculture, fruit picking robots on the ground have difficulty adapting to the terrain
conditions of mountain orchards and cannot pick longan fruit from tall longan trees. In this …

A weakly-supervised approach for flower/fruit counting in apple orchards

U Bhattarai, M Karkee - Computers in Industry, 2022 - Elsevier
Flower and fruit count is a critical metric in developing crop-load management and
harvesting strategies during flower/fruit development and harvest seasons. Growers …

Canopy segmentation and wire reconstruction for kiwifruit robotic harvesting

Z Song, Z Zhou, W Wang, F Gao, L Fu, R Li… - … and Electronics in …, 2021 - Elsevier
Kiwifruits are commercially grown on sturdy support structures such as T-bars and pergolas.
Wires are widely used in modern agriculture as an important material for supporting T-bars …

Collision-free motion planning for the litchi-picking robot

L Ye, J Duan, Z Yang, X Zou, M Chen… - Computers and Electronics …, 2021 - Elsevier
In unstructured environments, picking robots could collide with branches, thus reducing the
success rate of picking. In this study, collision-free motion planning is performed in two steps …

Weed detection in images of carrot fields based on improved YOLO v4.

B Ying, Y Xu, S Zhang, Y Shi, L Liu - Traitement du Signal, 2021 - search.ebscohost.com
The accurate weed detection is the premise for precision prevention and control of weeds in
fields. Machine vision offers an effective means to detect weeds accurately. For precision …

Computer vision‐based tree trunk and branch identification and shaking points detection in Dense‐Foliage canopy for automated harvesting of apples

X Zhang, M Karkee, Q Zhang… - Journal of Field …, 2021 - Wiley Online Library
Fresh market apples are one of the high‐value crops in the United States. Washington alone
has produced two‐thirds of the annual national production in the past 10 years. However …

A non-destructive and highly efficient model for detecting the genuineness of maize variety'JINGKE 968′ using machine vision combined with deep learning

K Tu, S Wen, Y Cheng, T Zhang, T Pan, J Wang… - … and Electronics in …, 2021 - Elsevier
Seed genuineness and varietal purity are key indicators of seed quality. Detecting the
genuineness of a single seed can simultaneously determine seed purity. The traditional …

Image-based high-throughput phenotyping in horticultural crops

AM Abebe, Y Kim, J Kim, SL Kim, J Baek - Plants, 2023 - mdpi.com
Plant phenotyping is the primary task of any plant breeding program, and accurate
measurement of plant traits is essential to select genotypes with better quality, high yield …

Progress in the application of cnn-based image classification and recognition in whole crop growth cycles

F Yu, Q Zhang, J Xiao, Y Ma, M Wang, R Luan, X Liu… - Remote Sensing, 2023 - mdpi.com
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …

[HTML][HTML] Dragon fruit detection in natural orchard environment by integrating lightweight network and attention mechanism

B Zhang, R Wang, H Zhang, C Yin, Y Xia… - Frontiers in Plant …, 2022 - frontiersin.org
An improved lightweight network (Improved YOLOv5s) was proposed based on YOLOv5s in
this study to realise all-weather detection of dragon fruit in a complex orchard environment …