[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications

VG Dhanya, A Subeesh, NL Kushwaha… - Artificial Intelligence in …, 2022 - Elsevier
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

A novel deep learning based approach for seed image classification and retrieval

A Loddo, M Loddo, C Di Ruberto - Computers and Electronics in …, 2021 - Elsevier
Seeds image analysis has become essential to preserve biodiversity. This is why
recognition and classification of plant species on the earth's planet is nowadays a great …

An effective and friendly tool for seed image analysis

A Loddo, C Di Ruberto, A Vale, M Ucchesu… - The Visual …, 2023 - Springer
Image analysis is an essential field for several topics in the life sciences, such as biology or
botany. In particular, the analysis of seeds (eg fossil research) can provide important …

[HTML][HTML] A wide diversity exists in pectin structure from thirteen apple cultivars

D Liu, X Liu, J Liu, É Jermendi, J Bi… - International Journal of …, 2023 - Elsevier
To emphasize that differences in pectin structure among cultivars play a crucial role in the
texture and quality of fruits and vegetables, the sugar content and methyl-esterification of …

Genome-wide association map** for wheat morphometric seed traits in Iranian landraces and cultivars under rain-fed and well-watered conditions

E Rabieyan, MR Bihamta, ME Moghaddam… - Scientific Reports, 2022 - nature.com
Seed traits in bread wheat are valuable to breeders and farmers, thus it is important
exploring putative QTLs responsible for key traits to be used in breeding programs. GWAS …

IJCropSeed: An open-access tool for high-throughput analysis of crop seed radiographs

AD de Medeiros, LJ da Silva, JM da Silva… - … and Electronics in …, 2020 - Elsevier
Optical technologies that are able to analyze physical properties of biological samples are
increasingly drawing interest in modern agriculture. The use of X-rays for analysis of internal …

Automatic classification of chickpea varieties using computer vision techniques

R Pourdarbani, S Sabzi, VM García-Amicis… - Agronomy, 2019 - mdpi.com
There are about 90 different varieties of chickpeas around the world. In Iran, where this study
takes place, there are five species that are the most popular (Adel, Arman, Azad, Bevanij …

Imaging-based screening of wheat seed characteristics towards distinguishing drought-responsive Iranian landraces and cultivars

E Rabieyan, MR Bihamta… - Crop and Pasture …, 2022 - CSIRO Publishing
Improving drought endurance in wheat needs high-throughput screening of yield
components including seed volume, area, and weight, all of which are very effortful, time …

Morpho-colorimetric seed traits for the discrimination, classification and prediction of yield in wheat genotypes under rainfed and well-watered conditions

E Rabieyan, MR Bihamta… - Crop and Pasture …, 2022 - CSIRO Publishing
Context Morphometric digital analysis of plant seeds enables taxonomic discrimination of
species based on morpho-colorimetric traits, and may be used to classify genotypes of …

Low-cost system for multispectral image acquisition and its applicability to analysis of the physiological potential of soybean seeds

JM Soares, AD Medeiros, DT Pinheiro… - Acta Scientiarum …, 2023 - SciELO Brasil
The use of multispectral images has great potential to assess seed quality and represents a
significant technological advance in the search for fast and non-destructive analysis …