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You searched for: Journal Biosystems engineering Remove constraint Journal: Biosystems engineering Publication Year 2019 Remove constraint Publication Year: 2019 Source 2019 v.180 Remove constraint Source: 2019 v.180
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1. Analysis of the variability of pesticide concentration downstream of inline mixers for direct nozzle injection systems

Author:
Dai, Xiang; Xu, Youlin; Zheng, Jiaqiang; Song, Haichao
Source:
Biosystems engineering 2019 v.180 pp. 59-69
ISSN:
1537-5110
Subject:
autocorrelation; image analysis; mixers; mixing; mixing ratio; nozzles; periodicity; pesticides; pipelines; pumps; spraying
Abstract:
... The injection of pesticide directly into spray nozzles results in concentration variations, both periodic discontinuities and pulses, caused by the use of injection pumps and solenoid valves. Such variations can lead to inaccurate application of pesticide. To avoid using long pipelines, long lag times and inaccurate application, efficient mixers are required to shorten the distance between the inj ...
DOI:
10.1016/j.biosystemseng.2019.01.012

2. An ultra-low pressure pneumatic jamming impact device to non-destructively assess cherimoya firmness

Author:
Ortiz, Coral; Blanes, Carlos; Mellado, Martín
Source:
Biosystems engineering 2019 v.180 pp. 161-167
ISSN:
1537-5110
Subject:
cherimoyas; firmness; fruit quality; fruits; models; prediction; prototypes; ripening; Spain
Abstract:
... The quality of cherimoya fruit is reduced by the rapid deterioration of firmness during ripening. Different methods have been developed for the measurement of firmness. The objective of this study was to use a developed impact prototype for the non-destructive assessment and prediction of cherimoya fruit firmness. The prototype has an ultra-low pressure pneumatic jamming rod used to copy the irreg ...
DOI:
10.1016/j.biosystemseng.2019.02.003

3. Chemometrics in tandem with near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy for variety identification and cooking loss determination of sweet potato

Author:
Su, Wen-Hao; Bakalis, Serafim; Sun, Da-Wen
Source:
Biosystems engineering 2019 v.180 pp. 70-86
ISSN:
1537-5110
Subject:
algorithms; chemometrics; cooking; cooking quality; discriminant analysis; hyperspectral imagery; least squares; models; near-infrared spectroscopy; prediction; sweet potatoes; tubers; wavelengths
Abstract:
... Near infrared (NIR) hyperspectral imaging and Fourier transform mid infrared (FT-MIR) microspectroscopy were explored in the current study to investigate how constituent elements of sweet potato change during cooking, and in the meantime, to identify sweet potato varieties. Partial least square discriminant analysis (PLSDA) model was established to classify varieties of sweet potato, and the corre ...
DOI:
10.1016/j.biosystemseng.2019.01.005

4. Improving a stem-damage monitoring system for a single-grip harvester using a logistic regression model in image processing

Author:
Palander, Teijo S.; Eronen, Jyry P.; Peltoniemi, Niklas P.; Aarnio, Aleksi I.; Kärhä, Kalle; Ovaskainen, Heikki K.
Source:
Biosystems engineering 2019 v.180 pp. 36-49
ISSN:
1537-5110
Subject:
Picea abies; Pinus sylvestris; algorithms; artificial intelligence; computer vision; decision support systems; harvesters; image analysis; logging; monitoring; photogrammetry; regression analysis; roundwood; texture; trees; wood quality; Finland
Abstract:
... Monitoring systems were applied to a single-grip harvester logging cut-to-length roundwood in Finland. Using single-grip harvesters may results in stem damages to the remaining trees during thinning, thereby reducing the growth and wood quality of the trees. These concerns justify the need for a decision support system to monitor stem damage in sustainable wood supply. One method to carry out harv ...
DOI:
10.1016/j.biosystemseng.2019.01.011

5. Irrigation decision support based on leaf relative water content determination in olive grove using near infrared spectroscopy

Author:
Torres, Irina; Sánchez, María-Teresa; Benlloch-González, María; Pérez-Marín, Dolores
Source:
Biosystems engineering 2019 v.180 pp. 50-58
ISSN:
1537-5110
Subject:
Olea europaea; crops; decision making; drought; equations; groves; irrigation rates; irrigation water; leaves; model validation; models; near-infrared spectroscopy; olives; prediction; spectral analysis; statistical analysis; temperature; water content; Mediterranean region
Abstract:
... The relative water content (RWC) provides a measurement of the water deficit of the leaf and may indicate a degree of stress, endured under conditions of drought and high temperatures. Its measurement is therefore essential for the appropriate management of irrigation. This study sought to ascertain the viability of near infrared spectroscopy (NIRS), using a handheld portable NIR instrument, for t ...
DOI:
10.1016/j.biosystemseng.2019.01.016

6. Method for detecting avian influenza disease of chickens based on sound analysis

Author:
Huang, Junduan; Wang, Wenqing; Zhang, Tiemin
Source:
Biosystems engineering 2019 v.180 pp. 16-24
ISSN:
1537-5110
Subject:
autocorrelation; avian influenza; chickens; support vector machines
Abstract:
... A new audio analysis-based detection method is put forward in this paper to detect avian influenza as early as possible. Because a distinctive difference exists in the short-time auto-correlation functions of recorded chicken sound and ambient noise, the former can be extracted from the record and the latter discarded. The mel-frequency cepstral coefficients (MFCC) are determined by analysing and ...
DOI:
10.1016/j.biosystemseng.2019.01.015

7. Modelling photocatalytic detoxification of aflatoxin B1 in peanut oil on TiO2 layer in a closed-loop reactor

Author:
Xu, Chengpeng; Ye, Shengying; Cui, Xiaolei; Song, Xianliang; Xie, Xueting
Source:
Biosystems engineering 2019 v.180 pp. 87-95
ISSN:
1537-5110
Subject:
Weibull statistics; aflatoxin B1; catalysts; glass; light intensity; models; peanut oil; photocatalysis; photolysis; titanium dioxide; toxicity
Abstract:
... Aflatoxin B1 (AFB1) is the most common and toxic among the aflatoxin group. Improper storage of both raw and processed peanut oil makes it susceptible to AFB1 production. Here, a closed-loop photocatalytic reactor consisting of a glass tube coated with TiO2 as a catalyst has been developed to study the photocatalytic detoxification of AFB1 in peanut oil. The removal rates of AFB1 in the photocatal ...
DOI:
10.1016/j.biosystemseng.2019.01.018

8. Simulation of straw movement by discrete element modelling of straw-sweep-soil interaction

Author:
Zeng, Zhiwei; Chen, Ying
Source:
Biosystems engineering 2019 v.180 pp. 25-35
ISSN:
1537-5110
Subject:
conservation tillage; kinetic energy; models; oat straw; soil
Abstract:
... Understanding residue and soil behaviour under the impact of tillage tools is critical for designing tools for conservation tillage. A soil-tool-residue interaction model was developed for a sweep and oat straw using the discrete element method. Soil, sweep, and straw were modelled using spherical particles, walls, and clumps respectively. A virtual field consisting of two layers including a soil ...
DOI:
10.1016/j.biosystemseng.2019.01.009

9. Structured-illumination reflectance imaging for the detection of defects in fruit: Analysis of resolution, contrast and depth-resolving features

Author:
Lu, Yuzhen; Lu, Renfu
Source:
Biosystems engineering 2019 v.180 pp. 1-15
ISSN:
1537-5110
Subject:
absorption; apples; foods; fruit quality; fruits; image analysis; light scattering; lighting; reflectance
Abstract:
... Structured-illumination reflectance imaging (SIRI), compared to conventional uniform illumination based modalities, provides a new means for defect detection of fruit. The capability of SIRI for defect detection, however, mainly depends on its image resolution and contrast and depth-resolving features. This study was therefore aimed at providing theoretical and experimental analyses of these featu ...
DOI:
10.1016/j.biosystemseng.2019.01.014