scholarly journals Classification of Processing Damage in Sugar Beet (Beta vulgaris) Seeds by Multispectral Image Analysis

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2360 ◽  
Author(s):  
Zahra Salimi ◽  
Birte Boelt
Keyword(s):  
Sugar Beet ◽  
Quality Assessment ◽  
Multispectral Imaging ◽  
Seed Quality ◽  
Mechanical Damage ◽  
Derived Data ◽  
Damage Types ◽  
Potential Tool ◽  
Vision Technique

The pericarp of monogerm sugar beet seed is rubbed off during processing in order to produce uniformly sized seeds ready for pelleting. This process can lead to mechanical damage, which may cause quality deterioration of the processed seeds. Identification of the mechanical damage and classification of the severity of the injury is important and currently time consuming, as visual inspections by trained analysts are used. This study aimed to find alternative seed quality assessment methods by evaluating a machine vision technique for the classification of five damage types in monogerm sugar beet seeds. Multispectral imaging (MSI) was employed using the VideometerLab3 instrument and instrument software. Statistical analysis of MSI-derived data produced a model, which had an average of 82% accuracy in classification of 200 seeds in the five damage classes. The first class contained seeds with the potential to produce good seedlings and the model was designed to put more limitations on seeds to be classified in this group. The classification accuracy of class one to five was 59, 100, 77, 77 and 89%, respectively. Based on the results we conclude that MSI-based classification of mechanical damage in sugar beet seeds is a potential tool for future seed quality assessment.

scholarly journals Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1090 ◽  
Author(s):  
Gamal ElMasry ◽  
Nasser Mandour ◽  
Salim Al-Rejaie ◽  
Etienne Belin ◽  
David Rousseau
Keyword(s):  
Quality Assessment ◽  
Multispectral Imaging ◽  
Seed Quality ◽  
Hyperspectral Data ◽  
Imaging Systems ◽  
Quality Monitoring ◽  
Electromagnetic Spectrum ◽  
Safety Control ◽  
Practical Applications ◽  
Wide Range

As a synergistic integration between spectroscopy and imaging technologies, spectral imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing different designs with effective and practical applications in food and agriculture. With the advantage of acquiring spatio-spectral data across a wide range of the electromagnetic spectrum, the state-of-the-art multispectral imaging in tandem with different multivariate chemometric analysis scenarios has been successfully implemented not only for food quality and safety control purposes, but also in dealing with critical research challenges in seed science and technology. This paper will shed some light on the fundamental configuration of the systems and give a birds-eye view of all recent approaches in the acquisition, processing and reproduction of multispectral images for various applications in seed quality assessment and seed phenotyping issues. This review article continues from where earlier review papers stopped but it only focused on fully-operated multispectral imaging systems for quality assessment of different sorts of seeds. Thence, the review comprehensively highlights research attempts devoted to real implementations of only fully-operated multispectral imaging systems and does not consider those ones that just utilized some key wavelengths extracted from hyperspectral data analyses without building independent multispectral imaging systems. This makes this article the first attempt in briefing all published papers in multispectral imaging applications in seed phenotyping and quality monitoring by providing some examples and research results in characterizing physicochemical quality traits, predicting physiological parameters, detection of defect, pest infestation and seed health.

Multispectral imaging – a new tool in seed quality assessment?

2018 ◽  
Vol 28 (3) ◽  
pp. 222-228 ◽  
Author(s):  
Birte Boelt ◽  
Santosh Shrestha ◽  
Zahra Salimi ◽  
Johannes Ravn Jørgensen ◽  
Mogens Nicolaisen ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Multispectral Imaging ◽  
Seed Quality ◽  
New Technology ◽  
Quality Parameters ◽  
Insect Damage ◽  
Seed Colour ◽  
Detection And Identification ◽  
Identification Of Fungi ◽  
Non Destructive

AbstractMultispectral imaging is a new technology that is being deployed to assess seed quality parameters. Examples of applications in the detection and identification of fungi on seeds are presented, together with an example of the technology used for maturity determination in sugar beet seed. Results from multispectral imaging are compared with reference methods, and a high correlation is found. Applications of the technique for varietal discrimination and insect damage are also presented. There is a need for non-destructive, reliable and fast techniques, and it is concluded that multispectral imaging has potential for seed quality assessment, in particular for those components associated with surface structure and chemical composition, seed colour, morphology and size.

Development of a Mechanical Damage Classification System for Use in the Post Construction Code for Nonmetallic Repair of Piping and Pressure Vessels

2009 ◽  
Author(s):  
Jesse J. French ◽  
John M. Henshaw
Keyword(s):  
Protective Coatings ◽  
Meta Analysis ◽  
Mechanical Damage ◽  
Pressure Vessels ◽  
International Standards ◽  
Substrate Preparation ◽  
Damage Classification ◽  
The University ◽  
Damage Types

ASME PCC-2, Repair of Pressure Equipment and Piping, Article 4.1, addresses the repair of high-pressure systems with nonmetallic composite systems and generally permits the repair of dents and gouges in paragraph 1.2(b) with certain substrate preparation requirements. Research done at The University of Tulsa along with meta-analysis of the work preformed over the last three decades at PRCI, GRI and Battelle has shown that classification of mechanical damage must be further refined and delineated to adequately address all applicable facets of non-metallic repair. This paper covers the author’s work with the Nonmetallic Repair Subgroup (SG NMR) to classify types of mechanical damage and the associated permissible repair methods. These damage classifications are set to be included in future editions of the PCC-2. The types of mechanical damage that were considered for this research were dents, cracks, gouges and certain repairable combinations of the three. Specific definitions are laid forth for the damage types and their subclasses along with geometric nomenclature in an attempt to standardize classification across the differences in the international standards. Other forms of mechanical damage and associated amplifying factors exist and are issues that pipeline and refinery assurance managers are concerned with. Additional examples of mechanical damage that are often considered for non-metallic repair are wrinkles and wrinkle bends, creases, buckling points and seismic folds. A common amplifying factor for mechanical damage is that increased corrosion rates often appear at the site of damage due to breeching of protective coatings or creation of extreme geometries that facilitate crevice corrosion, or the development of residual stresses.

Development of the sugar beet quality in the Netherlands since 1980 and introduction of invert sugar as a new parameter for beet quality assessment

2015 ◽  
pp. 95-103 ◽  
Author(s):  
Dirk P. Vermeulen
Keyword(s):  
The Netherlands ◽  
Sugar Beet ◽  
Quality Assessment ◽  
Sugar Content ◽  
Quality Parameters ◽  
Invert Sugar ◽  
Internal Quality ◽  
Glucose Content ◽  
Thick Juice ◽  
Trial Phase

The technological beet quality has been always important for the processors of sugar beet. An investigation into the development of the beet quality in the Netherlands since 1980 has shown that beet quality has improved significantly. Internal quality parameters that are traditionally determined in the beet laboratory, i.e. sugar content, Na, K and -aminoN, all show an improving trend over the years. In the factories, better beet quality has led to lower lime consumption in the juice purification and significantly higher thick juice purity. In 2013, Suiker Unie introduced the serial analysis of the glucose content in beet brei as part of the routine quality assessment of the beet. The invert sugar content is subsequently calculated from glucose content with a new correlation. The background, the trial phase and the first experiences with the glucose analyzer are discussed.

Harvesting and Threshing Methods on Seed Quality of Dhaincha (Sesbania aculeata)

2021 ◽  
Author(s):  
P. Masilamani ◽  
T. Eevera ◽  
T. Ramesh ◽  
S. Venkatesan
Keyword(s):  
Tamil Nadu ◽  
Seed Quality ◽  
Block Design ◽  
Mechanical Damage ◽  
Shoot Length ◽  
Seedling Vigour ◽  
Root And Shoot Length ◽  
Significant Difference ◽  
Combine Harvester ◽  
The Impact

Background: The present investigation is an attempt to study the effect of different harvesting and threshing methods on germination and seedling vigour of dhaincha. The use of a combine harvester to harvest dhaincha will be an effective alternative method that has not been widely tried. However, work on different methods of harvesting and threshing of dhaincha is limited. Hence, a study was conducted to evaluate the impact of various harvesting and threshing methods on germination and seedling vigour of dhaincha. Methods: This study was conducted at Anbil Dharmalingam Agricultural College and Research Institute, TNAU, Tiruchirappalli, Tamil Nadu. The dhaincha crop was harvested and threshed using four different methods viz., manual harvesting and manual threshing, manual harvesting and threshing by tractor treading, manual harvesting and mechanical threshing and harvesting and threshing by combine harvester. The resultant seeds were tested for mechanical damage and germination potential. The experiment was laid in completely randomized block design. Germination was tested by roll towel method using 100 seeds in four replications. Germination percentage, root and shoot length were measured in seven days after sowing from ten randomly selected seedlings in each replication. For the estimation of dry matter production, ten seedlings were selected at random and kept in a hot air oven maintained at 85oC for 24 hours after measuring their root and shoot length and vigour index was calculated. Mechanical damage to seeds was observed by ferric chloride test. Seed recovery per cent was calculated based on the 100 kgs of dhaincha seeds were cleaned and graded treatment wise using cleaner cum grader and the seeds retained on the bottom sieve were weighed and expressed as per cent of total quantity of seed. Result: The results revealed that the significant difference was found among the different harvesting and threshing methods. The seeds harvested and threshed by manual method recorded 85 per cent germination followed by seeds harvested manually and threshed by mechanical threshing (84 per cent) and seeds harvested manually and threshed by tractor treading (80.5 per cent). The lowest germination of 80.0 per cent was recorded by combine harvesting. From this study, it could be inferred that combine harvester is a modern method for harvesting of dhaincha that saves time and labour when compared to all other methods.

Water Accounting Plus (WA+) through Remote Sensing in the Yarmouk Tributary Basin

2021 ◽  
Author(s):  
Chadi Abdallah ◽  
Gina Tarhini ◽  
Mariam Daher ◽  
Hussein Khatib ◽  
Mark Zeitoun
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Management Strategies ◽  
Initial Distribution ◽  
Yarmouk River ◽  
The Status ◽  
Irrigated Crops ◽  
Water Accounting ◽  
Derived Data

<p>Coping with the issue of water scarcity and growing competition for water among different sectors requires effective water management strategies and decision processes. ‘Getting it right’ becomes doubly important when dealing with intenational transboundary rivers. The Yarmouk tributary to the Jordan River is one highly exploited in the Middle East, and is enveloped by ambiguous treaties and decades of violent and non-violent conflict. Seeking to chart a more sustainable and equitable future, this work performs a 'water accounting plus' methodology employing readily available remotely sensed satellite-based data coupled with available measurements.  A variety of methods described herein were used to detect irrigated crops and produce maps showing the distribution throughout the basin. The framework also focuses on the classification of land use categories and the processes by which water is depleted over all land use classes that contributes to separate the beneficial from non-beneficial usage of water. The analysis was started prior to the 2011 start of the Syrian war in order to study the initial distribution of land use classes as well as the water depletion processes before any change in the basin. It shows that more than half of the exploitable water is not consumed within the basin and depleted outside. In contrast, most of the water consumed within the basin is wasted and depleted in a non-beneficial way. Roughly 35% of the cultivated area shown to be irrigated through withdrawals which exceed the capacity of the source. This result reflects the high abstraction rates from groundwater via a large number of unlicensed wells mostly located at the Syrian side. This study also detect a deficiency in the water balance of the Yarmouk River. The findings are relevant to sustainable management not only for water-dependent sectors but also for geopolitical stability among the riparian countries. In this way, open- access remote sensing derived data can provide useful information about the status of water resources especially when ground measurements are poor or absent.</p><p> </p><p>Keywords: Yarmouk, Water Accounting Plus, IWM, Irrigated crops, WAPOR.</p>

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