Automatic flower cluster estimation in apple orchards using aerial and ground based point clouds-Reference-Cited by-同舟云学术

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Automatic flower cluster estimation in apple orchards using aerial and ground based point clouds

Published:2022-09 Issue: Volume:221 Page:164-180
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Zhang Chenglong,Mouton Christiaan,Valente João,Kooistra Lammert,van Ooteghem Rachel,de Hoog Dirk,van Dalfsen Pieter,Frans de Jong Peter

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference34 articles.

1. Yield prediction in apple orchards based on image processing;Aggelopoulou;Precision Agriculture,2011

2. Technologies for forecasting tree fruit load and harvest timing—from ground, sky and time;Anderson;Agronomy,2021

3. Image segmentation for fruit detection and yield estimation in apple orchards;Bargoti;Journal of Field Robotics,2017

4. Automatic blossom detection in apple trees using deep learning;Bhattarai;IFAC-PapersOnLine,2020

5. Strawberry yield prediction based on a deep neural network using high-resolution aerial orthoimages;Chen;Remote Sensing,2019

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1. Using unmanned aerial vehicle acquired RGB images and Density-Cluster-Count model for tree-level apple flower quantification;Computers and Electronics in Agriculture;2024-11

2. Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms;SN Computer Science;2024-07-03

3. Advances in apple’s automated orchard equipment: A comprehensive research;Computers and Electronics in Agriculture;2024-06

4. Multi-scenario pear tree inflorescence detection based on improved YOLOv7 object detection algorithm;Frontiers in Plant Science;2024-01-22

5. Invasive flower species detection using CNN and alert system;AIP Conference Proceedings;2024

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