Aerial images and convolutional neural network for cotton bloom detection

R Xu, C Li, AH Paterson, Y Jiang, S Sun… - Frontiers in plant …, 2018 - frontiersin.org
Monitoring flower development can provide useful information for production management,
estimating yield and selecting specific genotypes of crops. The main goal of this study was to …

High-throughput phenotyping in cotton: a review

ILB Pabuayon, Y Sun, W Guo, GL Ritchie - Journal of Cotton Research, 2019 - Springer
Recent technological advances in cotton (Gossypium hirsutum L.) phenotyping have offered
tools to improve the efficiency of data collection and analysis. High-throughput phenotyping …

Using generative module and pruning inference for the fast and accurate detection of apple flower in natural environments

Y Zhang, S He, S Wa, Z Zong, Y Liu - Information, 2021 - mdpi.com
Apple flower detection is an important project in the apple planting stage. This paper
proposes an optimized detection network model based on a generative module and pruning …

[PDF][PDF] Tomato flower detection and counting in greenhouses using faster region-based convolutional neural network

UF Rahim, H Mineno - Journal of Image and Graphics, 2020 - pdfs.semanticscholar.org
To optimize fruit production and improve profitability cultivators remove excess flowers and
fruitlets from plants and trees in the early growing season. The proportion of the flowers to be …

[PDF][PDF] Multi class fruit classification using efficient object detection and recognition techniques

R Khan, R Debnath - International Journal of Image, Graphics and …, 2019 - academia.edu
In this paper, an efficient approach has been proposed to localize every clearly visible object
or region of object from an image, using less memory and computing power. For object …

Pear flower cluster quantification using RGB drone imagery

Y Vanbrabant, S Delalieux, L Tits, K Pauly… - Agronomy, 2020 - mdpi.com
High quality fruit production requires the regulation of the crop load on fruit trees by reducing
the number of flowers and fruitlets early in the growing season, if the bearing is too high …

[HTML][HTML] RoseTracker: A system for automated rose growth monitoring

R Shinoda, K Motoki, K Hara, H Kataoka… - Smart Agricultural …, 2023 - Elsevier
In cut-flower cultivation, production planning is an important task because demand fluctuates
throughout the year. For precise cultivation planning, understanding the cultivation status is …

Machine Vision System for Early-stage Apple Flowers and Flower Clusters Detection for Precision Thinning and Pollination

SR Khanal, R Sapkota, D Ahmed, U Bhattarai… - IFAC-PapersOnLine, 2023 - Elsevier
Early-stage identification of fruit flowers that are in both opened and unopened condition in
an orchard environment is significant information to perform crop load management …

[PDF][PDF] The Future of Imaging Technology

K Kheiralipour - 2024 - researchgate.net
Imaging is a nondestructive technology with high speed, accuracy, reliability, repeatability,
and low cost and complexity that is widely used in different sectors. The technology receives …

Cotton boll distribution and yield estimation using three‐dimensional point cloud data

N Dube, B Bryant, H Sari‐Sarraf… - Agronomy Journal, 2020 - Wiley Online Library
Node‐by‐node boll mapping has been used to determine the effects of several
environmental and management strategies, including irrigation rate and cultivar, on cotton …