Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

K Berger, J Verrelst, JB Féret, Z Wang… - Remote Sensing of …, 2020 - Elsevier
Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

[HTML][HTML] Recycling of plastic solid waste: A state of art review and future applications

N Singh, D Hui, R Singh, IPS Ahuja, L Feo… - Composites Part B …, 2017 - Elsevier
Plastic solid waste (PSW) of polymers (like: high density polyethylene (HDPE), low density
polyethylene (LDPE), Nylon etc.) is creating new challenges, which in today's scenario are …

Hyperspectral imaging–an emerging process analytical tool for food quality and safety control

AA Gowen, CP O'Donnell, PJ Cullen, G Downey… - Trends in food science & …, 2007 - Elsevier
Hyperspectral imaging (HSI) is an emerging platform technology that integrates
conventional imaging and spectroscopy to attain both spatial and spectral information from …

Machine learning based hyperspectral image analysis: a survey

UB Gewali, ST Monteiro, E Saber - arxiv preprint arxiv:1802.08701, 2018 - arxiv.org
Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …

Assessment of seed quality using non-destructive measurement techniques: a review

A Rahman, BK Cho - Seed Science Research, 2016 - cambridge.org
Seed quality is of great importance in optimizing the cost of crop establishment. Rapid and
non-destructive seed quality detection methods must therefore be developed for agriculture …

Fast quantification of total volatile basic nitrogen (TVB-N) content in beef and pork by near-infrared spectroscopy: Comparison of SVR and PLS model

T Leng, F Li, Y Chen, L Tang, J **e, Q Yu - Meat Science, 2021 - Elsevier
With application of PLS regression and SVR, quantitation models of near infrared diffuse
reflectance spectroscopy were established for the first time to predict the content of volatile …

Near-infrared hyperspectral imaging for grading and classification of pork

D Barbin, G Elmasry, DW Sun, P Allen - Meat Science, 2012 - Elsevier
In this study, a hyperspectral imaging technique was developed to achieve fast, accurate,
and objective determination of pork quality grades. Hyperspectral images were acquired in …

Image analysis operations applied to hyperspectral images for non-invasive sensing of food quality–a comprehensive review

GM ElMasry, S Nakauchi - Biosystems engineering, 2016 - Elsevier
Highlights•Describing fundamental configuration and working principles of hyperspectral
systems.•The paper underscores the theoretical and practical issues of hyperspectral …

Monitoring of peanut leaves chlorophyll content based on drone-based multispectral image feature extraction

H Qi, Z Wu, L Zhang, J Li, J Zhou, Z Jun… - Computers and Electronics …, 2021 - Elsevier
Peanuts are an important cash crop in the national economy, and their chlorophyll content
can reflect the fertilizer status of peanuts. Therefore, it is urgent to obtain a rapid and …

Non-destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: a review

WH Su, HJ He, DW Sun - Critical reviews in food science and …, 2017 - Taylor & Francis
Staple foods, including cereals, legumes, and root/tuber crops, dominate the daily diet of
humans by providing valuable proteins, starch, oils, minerals, and vitamins. Quality …