[HTML][HTML] Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review

J Wieme, K Mollazade, I Malounas, M Zude-Sasse… - biosystems …, 2022 - Elsevier
Highlights•Hyperspectral imaging is an effective tool for in assessing quality
parameters.•The most abundantly used wavelengths are 601–850 nm, used in over 50% of …

[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

H Tao, S Xu, Y Tian, Z Li, Y Ge, J Zhang, Y Wang… - Plant …, 2022 - cell.com
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

A survey of robotic harvesting systems and enabling technologies

L Droukas, Z Doulgeri, NL Tsakiridis… - Journal of Intelligent & …, 2023 - Springer
This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

[HTML][HTML] Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning

RWN Syazwani, HM Asraf, MAMS Amin… - Alexandria Engineering …, 2022 - Elsevier
Automated fruit identification or recognition using image processing is a key element in
precision agriculture for performing object detection in large crop plots. Automation of fruit …

In-field and non-destructive monitoring of grapes maturity by hyperspectral imaging

A Benelli, C Cevoli, L Ragni, A Fabbri - Biosystems Engineering, 2021 - Elsevier
Monitoring the quality attributes of grapes is a practice that allows the state of ripeness to be
checked and the optimal harvest time to be identified. A non-destructive method based on …

A narrative review of recent advances in rapid assessment of anthocyanins in agricultural and food products

MF Manzoor, A Hussain, N Naumovski… - Frontiers in …, 2022 - frontiersin.org
Anthocyanins (ACNs) are plant polyphenols that have received increased attention recently
mainly due to their potential health benefits and applications as functional food ingredients …

Application of near-infrared spectroscopy and hyperspectral imaging combined with machine learning algorithms for quality inspection of grape: a review

W Ye, W Xu, T Yan, J Yan, P Gao, C Zhang - Foods, 2022 - mdpi.com
Grape is a fruit rich in various vitamins, and grape quality is increasingly highly concerned
with by consumers. Traditional quality inspection methods are time-consuming, laborious …

Non-destructive and in-site estimation of apple quality and maturity by hyperspectral imaging

F Wang, C Zhao, H Yang, H Jiang, L Li… - Computers and Electronics …, 2022 - Elsevier
Rapid and in-situ estimation of apple quality and maturity is of great significance to
guarantee the quality of apples and the profit of the industry. This study explored the utility of …

Phenotypic techniques and applications in fruit trees: a review

Y Huang, Z Ren, D Li, X Liu - Plant Methods, 2020 - Springer
Phenotypic information is of great significance for irrigation management, disease
prevention and yield improvement. Interest in the evaluation of phenotypes has grown with …