[HTML][HTML] Polarimetric imaging via deep learning: A review
Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …
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
Agriculture is an important component of the concept of sustainable development. Given the
projected population growth, sustainable agriculture must accomplish food security while …
projected population growth, sustainable agriculture must accomplish food security while …
Artificial intelligence in postharvest agriculture: mapping a research agenda
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …
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 …
water surface glints, this study demonstrates a method called De-Glints for suppressing …
Mosaic gradient histogram for object tracking in DoFP infrared polarization imaging
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 …
time object tracking in the video captured using Division of Focal Plane (DoFP) infrared …
Tracking post-storage apple age with polarized light measurements
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 …
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 …
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 …
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
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 …
particulate matter (PM) concentration, specifically, particles with a maximum diameter of …
Pragmatic Analysis of Fruit Processing Models for Quality Evaluation from a Statistical Perspective
Fruits & other naturally occurring plant-based products change their temporal visual
appearance & smell when separated from their parent trees. The temporal visual …
appearance & smell when separated from their parent trees. The temporal visual …