Deep transfer learning based photonics sensor for assessment of seed-quality

PS Thakur, B Tiwari, A Kumar, B Gedam… - … and Electronics in …, 2022 - Elsevier
Seed-quality is one of the most important factors for achieving the objectives of uniform
seedling establishment and high crop yield. In this work, we propose laser backscattering …

Deep learning-based robust analysis of laser bio-speckle data for detection of fungal-infected soybean seeds

N Kaler, V Bhatia, AK Mishra - IEEE Access, 2023 - ieeexplore.ieee.org
Seed-borne diseases play a crucial role in affecting the overall quality of seeds, efficient
disease management, and crop productivity in agriculture. Detection of seed-borne diseases …

Development of an intelligent laser biospeckle system for early detection and classification of soybean seeds infected with seed-borne fungal pathogen …

P Singh, A Chatterjee, LS Rajput, S Rana… - Biosystems …, 2021 - Elsevier
There is a need for developing rapid and non-destructive techniques for the early detection
of seed-borne fungal pathogen because they can be an essential step towards adopting …

Deep learning based processing framework for spatio-temporal analysis and classification of laser biospeckle data

PS Thakur, O Krejcar, V Bhatia, S Prakash - Optics & Laser Technology, 2024 - Elsevier
Laser biospeckle is an advanced optical technique with the ability to non-destructively
visualize various transient phenomenon via spatial and temporal statistics. However …

Non-destructive morphological screening for the assessment of postharvest storage effect on pears stored with apples using optical coherence tomography

JA Luna, RE Wijesinghe, SY Lee, NK Ravichandran… - Optik, 2024 - Elsevier
The use of a limited and inadequate storage facility for the storage of multiple food items for
an extended period of time results in the loss of structural integrity and freshness while …

Biospeckle-based sensor for characterization of charcoal rot (Macrophomina Phaseolina (Tassi) Goid) disease in soybean (Glycine Max (L.) Merr.) crop

P Singh, A Chatterjee, LS Rajput, S Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
Charcoal rot is one of the most destructive fungal diseases of soybean, caused by the
pathogen called Macrophomina phaseolina. This disease thrives in warm and dry …

A Novel Point-Based Indexing Strategy for Biospeckle Sensors

A Chatterjee - IEEE Sensors Letters, 2023 - ieeexplore.ieee.org
In this letter, a novel point-based algorithm is presented for biospeckle sensors by
combining random temporal history, robust normalization, and absolute value difference …

Viability detection of soybean seeds using α-Variogram based statistical analysis

S Tiwari, R Disawal, MS Thakur, S Bande… - AIP Conference …, 2024 - pubs.aip.org
Biospeckle patterns are observed in a specimen with temporal variations due to
physiological, biological or chemical activity. For biospeckle pattern analysis, various point …

Characterization of topography hidden under paint by means of qualitative algorithms robust to the number of frames and non-uniform illumination

E Baradit, M Avendaño, G Cañas, M Yañez… - Optics and Lasers in …, 2022 - Elsevier
The use of qualitative algorithms in images with dynamic speckle allows generating a three-
dimensional intensity map, which correlates with the sample activity. Samples in an …

Biospeckle Analysis for Evaluating the Effects of Temperature Regime on Seed Imbibition Characteristics

P Singh, A Chatterjee, V Bhatia… - 2020 IEEE 17th India …, 2020 - ieeexplore.ieee.org
Biological changes in imbibition characteristics of seeds are occurring worldwide due to
severe variations in environmental conditions, causing enormous ecological and …