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Phenotypic techniques and applications in fruit trees: a review.

Yirui Huang¹, Zhenhui Ren¹, Dongming Li¹

¹College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding, 071001 China.

|August 13, 2020

Summary

Advanced technologies offer rapid, non-destructive methods for fruit tree phenotyping. Techniques like spectroscopy and imaging are crucial for monitoring tree health, water stress, and disease, improving crop yield and quality.

Keywords:

LiDAR Phenotype Spectral imaging Thermal imaging VIS–NIR spectroscopy

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Area of Science:

Horticulture and Agricultural Technology
Plant Science
Remote Sensing

Background:

Accurate fruit tree phenotyping is vital for effective irrigation, disease management, and yield enhancement.
Traditional phenotyping methods are often destructive and labor-intensive, hindering large-scale and timely assessments.
There is a growing need for advanced, non-destructive technologies to monitor fruit tree phenotypes efficiently.

Purpose of the Study:

To review and summarize cutting-edge field techniques for fruit tree phenotypic research.
To highlight the applications of these technologies in assessing various plant traits and conditions.
To underscore the importance of these methods in advancing fruit tree cultivation and management.

Main Methods:

Visible and Near-Infrared (VIS-NIR) Spectroscopy
Digital Photography
Multispectral and Hyperspectral Imaging
Thermal Imaging
Light Detection and Ranging (LiDAR)

Main Results:

These technologies enable non-destructive assessment of architectural parameters, pigment, and nutrient content.
Applications include monitoring water stress, fruit biochemical parameters, and detecting diseases in fruit trees.
The reviewed techniques have demonstrated significant utility in diverse fruit tree research applications.

Conclusions:

Advanced remote sensing and imaging technologies are transforming fruit tree phenotyping.
These non-destructive methods provide critical data for optimizing orchard management practices.
The adoption of these technologies is essential for improving fruit quality, yield, and sustainable agriculture.