Visible-NIR 'point'spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use

KB Walsh, J Blasco, M Zude-Sasse, X Sun - Postharvest Biology and …, 2020 - Elsevier
The application of visible (Vis; 400–750 nm) and near infrared red (NIR; 750–2500 nm)
region spectroscopy to assess fruit and vegetables is reviewed in context of …

Flavonoids in agriculture: Chemistry and roles in, biotic and abiotic stress responses, and microbial associations

A Shah, DL Smith - Agronomy, 2020 - mdpi.com
The current world of climate change, global warming and a constantly changing
environment have made life very stressful for living entities, which has driven the evolution of …

Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean

M Yoosefzadeh-Najafabadi, HJ Earl, D Tulpan… - Frontiers in plant …, 2021 - frontiersin.org
Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

[HTML][HTML] Machine learning and remote sensing techniques applied to estimate soil indicators–review

FA Diaz-Gonzalez, J Vuelvas, CA Correa, VE Vallejo… - Ecological …, 2022 - Elsevier
The demand for food based on intensive agriculture has decreased soil quality, posing great
challenges such as increasing agricultural productivity and promoting environmental …

Measurement of optical properties of fruits and vegetables: A review

R Lu, R Van Beers, W Saeys, C Li, H Cen - Postharvest Biology and …, 2020 - Elsevier
This paper provides an overview of the principles and theory of measuring optical properties
of biological materials. It then presents the instrumentation and data analysis procedures for …

Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves

AA Gitelson, GP Keydan… - Geophysical research …, 2006 - Wiley Online Library
Leaf pigment content and composition provide important information about plant
physiological status. Reflectance measurements offer a rapid, nondestructive technique to …

[HTML][HTML] Fruit sizing using AI: a review of methods and challenges

JC Miranda, J Gené-Mola, M Zude-Sasse… - Postharvest Biology and …, 2023 - Elsevier
Fruit size at harvest is an economically important variable for high-quality table fruit
production in orchards and vineyards. In addition, knowing the number and size of the fruit …

A review of hyperspectral remote sensing and its application in vegetation and water resource studies

M Govender, K Chetty, H Bulcock - Water Sa, 2007 - journals.co.za
Multispectral imagery has been used as the data source for water and land observational
remote sensing from airborne and satellite systems since the early 1960s. Over the past two …

Applications of non-destructive technologies for agricultural and food products quality inspection

HS El-Mesery, H Mao, AEF Abomohra - Sensors, 2019 - mdpi.com
The quality and safety of food is an increasing concern for worldwide business. Non-
destructive methods (NDM), as a means of assessment and instrumentation have created an …

A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation

AA Gitelson, G Dall'Olmo, W Moses… - Remote Sensing of …, 2008 - Elsevier
Accurate assessment of phytoplankton chlorophyll-a (chla) concentrations in turbid waters
by means of remote sensing is challenging due to the optical complexity of case 2 waters …