[HTML][HTML] Polarimetric imaging via deep learning: A review

X Li, L Yan, P Qi, L Zhang, F Goudail, T Liu, J Zhai… - Remote Sensing, 2023 - mdpi.com
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …

Recent advancement in postharvest loss mitigation and quality management of fruits and vegetables using machine learning frameworks

A Singh, G Vaidya, V Jagota, DA Darko… - Journal of Food …, 2022 - Wiley Online Library
Agriculture is an important component of the concept of sustainable development. Given the
projected population growth, sustainable agriculture must accomplish food security while …

Artificial intelligence in postharvest agriculture: mapping a research agenda

T Fadiji, T Bokaba, OA Fawole… - Frontiers in Sustainable …, 2023 - frontiersin.org
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …

Automatic suppression method for water surface glints using a division of focal plane visible polarimeter

M Wang, S Qiu, W Jin, J Yang - Sensors, 2023 - mdpi.com
To address the problem of water surface detection imaging equipment being susceptible to
water surface glints, this study demonstrates a method called De-Glints for suppressing …

Mosaic gradient histogram for object tracking in DoFP infrared polarization imaging

X Qiao, Y Zhao, L Chen, SG Kong… - ISPRS Journal of …, 2022 - Elsevier
Abstract This paper presents Mosaic Gradient Histogram (MGH), a feature descriptor for real-
time object tracking in the video captured using Division of Focal Plane (DoFP) infrared …

Tracking post-storage apple age with polarized light measurements

D Rajkumar, R Künnemeyer, J Longdell… - Postharvest Biology and …, 2023 - Elsevier
A rotating retarder fixed polarizer (RRFP) polarimeter operating in the 600–1000 nm range
was developed and used to measure the polarized reflected light response of post-storage …

Agri-food products quality assessment methods

S Natarajan, V Ponnusamy - Computer Vision and Machine Learning in …, 2022 - Springer
Quality of the food stuff is significant at the home level as well as large scale food production
and plays a vital role in consumer's health safety. Various forms of malnutrition, misuse of …

[HTML][HTML] ML-based technologies in sustainable agro-food production and beyond: Tapping the (semi) arid landscape for bioactives-based product development

T Joshi, H Sehgal, S Puri, T Mahapatra, M Joshi… - Journal of Agriculture …, 2024 - Elsevier
The current era of rapid climate change necessitates greater emphasis on wild, often
underutilized yet sturdy, edible plants that are capable of growing in harsh arid lands. When …

Machine Learning-Based Estimation of PM2.5 Concentration Using Ground Surface DoFP Polarimeters

M Takruri, A Abubakar, AH Jallad, B Altawil… - IEEE …, 2022 - ieeexplore.ieee.org
In this paper, we propose a machine learning system for the estimation of atmospheric
particulate matter (PM) concentration, specifically, particles with a maximum diameter of …

Pragmatic Analysis of Fruit Processing Models for Quality Evaluation from a Statistical Perspective

AG Said, B Joshi - 2022 2nd Asian Conference on Innovation in …, 2022 - ieeexplore.ieee.org
Fruits & other naturally occurring plant-based products change their temporal visual
appearance & smell when separated from their parent trees. The temporal visual …