Image-based high-throughput phenotyping in horticultural crops

AM Abebe, Y Kim, J Kim, SL Kim, J Baek - Plants, 2023 - mdpi.com
Plant phenotyping is the primary task of any plant breeding program, and accurate
measurement of plant traits is essential to select genotypes with better quality, high yield …

Technologies and innovative methods for precision viticulture: a comprehensive review

MV Ferro, P Catania - Horticulturae, 2023 - mdpi.com
The potential of precision viticulture has been highlighted since the first studies performed in
the context of viticulture, but especially in the last decade there have been excellent results …

Detection of mulberry ripeness stages using deep learning models

SHM Ashtiani, S Javanmardi, M Jahanbanifard… - IEEE …, 2021 - ieeexplore.ieee.org
Ripeness classification is one of the most challenging tasks in the postharvest management
of mulberry fruit. The risks of microbial contamination and human error in manual sorting are …

A grape dataset for instance segmentation and maturity estimation

A Blekos, K Chatzis, M Kotaidou, T Chatzis… - Agronomy, 2023 - mdpi.com
Grape maturity estimation is vital in precise agriculture as it enables informed decision
making for disease control, harvest timing, grape quality, and quantity assurance. Despite its …

Automated grapevine cultivar identification via leaf imaging and deep convolutional neural networks: a proof-of-concept study employing primary iranian varieties

A Nasiri, A Taheri-Garavand, D Fanourakis, YD Zhang… - Plants, 2021 - mdpi.com
Extending over millennia, grapevine cultivation encompasses several thousand cultivars.
Cultivar (cultivated variety) identification is traditionally dealt by ampelography, requiring …

Pre-trained deep learning-based classification of jujube fruits according to their maturity level

A Mahmood, SK Singh, AK Tiwari - Neural Computing and Applications, 2022 - Springer
Assessment of crop maturity and quality is pivotal in the food industry and for harvesting. The
manual classification of crops based on their maturity levels for harvesting and packaging …

Predicting Bordeaux red wine origins and vintages from raw gas chromatograms

M Schartner, JM Beck, J Laboyrie, L Riquier… - Communications …, 2023 - nature.com
Connecting chemical properties to various wine characteristics is of great interest to the
science of olfaction as well as the wine industry. We explored whether Bordeaux wine …

Machine vision for ripeness estimation in viticulture automation

E Vrochidou, C Bazinas, M Manios, GA Papakostas… - Horticulturae, 2021 - mdpi.com
Ripeness estimation of fruits and vegetables is a key factor for the optimization of field
management and the harvesting of the desired product quality. Typical ripeness estimation …

Allergen30: detecting food items with possible allergens using deep learning-based computer vision

M Mishra, T Sarkar, T Choudhury, N Bansal… - Food Analytical …, 2022 - Springer
Food allergies impose a significant health concern on the community. A small number of
certain food items can cause an allergic reaction within the human body. The symptoms can …

[HTML][HTML] Peach ripeness classification based on a new one-stage instance segmentation model

Z Zhao, Y Hicks, X Sun, C Luo - Computers and Electronics in Agriculture, 2023 - Elsevier
Peach instance segmentation is a crucial part to locate peaches and classify their ripeness
stages to build an automatic peach harvesting or monitoring machine. This paper proposes …