Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
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 …
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
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 …
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
Hyperspectral imaging (HSI) is an emerging platform technology that integrates
conventional imaging and spectroscopy to attain both spatial and spectral information from …
conventional imaging and spectroscopy to attain both spatial and spectral information from …
Machine learning based hyperspectral image analysis: a survey
Hyperspectral sensors enable the study of the chemical properties of scene materials
remotely for the purpose of identification, detection, and chemical composition analysis of …
remotely for the purpose of identification, detection, and chemical composition analysis of …
Assessment of seed quality using non-destructive measurement techniques: a review
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 …
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 …
reflectance spectroscopy were established for the first time to predict the content of volatile …
Near-infrared hyperspectral imaging for grading and classification of pork
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 …
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
Highlights•Describing fundamental configuration and working principles of hyperspectral
systems.•The paper underscores the theoretical and practical issues 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 …
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
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 …
humans by providing valuable proteins, starch, oils, minerals, and vitamins. Quality …