In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI)-Reference-Cited by-同舟云学术

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In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI)

Published:2023-02 Issue: Volume:205 Page:107611
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Tsoulias Nikos,Saha Kowshik Kumar,Zude-Sasse Manuela

Funder

BMEL

Horizon 2020 Framework Programme

Bundesministerium für Ernährung und Landwirtschaft

Horizon 2020

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference49 articles.

1. UAV-based high throughput phenotyping in citrus utilizing multispectral imaging and artificial intelligence;Ampatzidis;Remote Sensing,2019

2. Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003;Anyamba;Journal of arid Environments,2005

3. Evaluating the performance of xanthophyll, chlorophyll and structure-sensitive spectral indices to detect water stress in five fruit tree species;Ballester;Precision Agriculture,2018

4. A review of vegetation indices;Bannari;Remote Sensing Reviews,1995

5. Growth, Maturation, and Senescence in Fruits: Recent knowledge on growth regulation and on biological oxidations has been applied to studies with fruits;Biale;Science,1964

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chlorophyll content estimation and ripeness detection in tomato fruit based on NDVI from dual wavelength LiDAR point cloud data;Journal of Food Engineering;2024-12

2. Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms;Journal of Agriculture and Food Research;2024-12

3. Dual-Wavelength LiDAR with a Single-Pixel Detector Based on the Time-Stretched Method;Sensors;2024-09-04

4. Occurrence of Wetness on the Fruit Surface Modeled Using Spatio-Temporal Temperature Data from Sweet Cherry Tree Canopies;Horticulturae;2024-07-17

5. Feasibility study on fruit parameter estimation based on hyperspectral LiDAR point cloud;Journal of Food Measurement and Characterization;2024-07-10

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