NIRS as a tool for precision horticulture in the citrus industry-Reference-Cited by-同舟云学术

NIRS as a tool for precision horticulture in the citrus industry

Published:2008-03 Issue:3 Volume:99 Page:455-459
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Zude Manuela,Pflanz Michael,Kaprielian Craig,Aivazian Bryan L.

Publisher

Elsevier BV

Subject

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

Reference22 articles.

1. Annamalai P; Lee W S; Burks T F (2004). Color vision system for estimating citrus yield in real-time. ASAE/CSAE Meeting Presentation, Paper Number 043054

2. Feasibility and performances of a new, multiplexed, fast and low-cost fiber-optic NIR spectrometer for on-line measurement of sugar in fruits;Bellon;Applied Spectroscopy,1993

3. The physics of near-infrared reflectance;Birth,1987

4. Light transmittance through a region of an intact fruit;Chen;Transactions of the ASAE,1980

5. Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content;Golic;Analytica Chimica Acta,2006

Cited by 40 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. First step for hand-held NIRS instrument field use: Table grape quality assessment consideration of temperature and sunlight chemometrics correction;Postharvest Biology and Technology;2023-07

2. Non-destructive evaluation of soluble solid content in fruits with various skin thicknesses using visible–shortwave near-infrared spectroscopy;Open Agriculture;2023-01-01

3. Model development and update of portable NIRS instrument for assessment of internal quality attributes of two navel orange varieties;Frontiers in Nutrition;2022-08-24

4. Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences and Agriculture;Applied Sciences;2022-01-19

5. Ripening assessment of ‘Ortanique’ (Citrus reticulata Blanco x Citrus sinensis (L) Osbeck) on tree by SW-NIR reflectance spectroscopy-based calibration models;Postharvest Biology and Technology;2022-01