Engineering in Agriculture, Environment and Food最新文献_第2页

Anaerobic digestion of agro-industrial wastes of Bangladesh: Influence of total solids content 孟加拉国农业工业废物的厌氧消化:总固体含量的影响

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-11-02 DOI: 10.1016/j.eaef.2019.10.002

Md.Anisur Rahman , Chayan Kumer Saha , Lu Feng , Henrik B. Møller , Md.Monjurul Alam

{"title":"Anaerobic digestion of agro-industrial wastes of Bangladesh: Influence of total solids content","authors":"Md.Anisur Rahman , Chayan Kumer Saha , Lu Feng , Henrik B. Møller , Md.Monjurul Alam","doi":"10.1016/j.eaef.2019.10.002","DOIUrl":"10.1016/j.eaef.2019.10.002","url":null,"abstract":"<div>Producing bioenergy from the anaerobic digestion (AD) of poultry droppings (PD), press mud (PM), sugarcane bagasse (SB) and sugar beet roots and tops (SRT) could be an effective source of fuel and energy for processing sugar from sugar beet and sugarcane and for reviving and making the sugar industries profitable in Bangladesh. The total solids (TS) content is crucial for an optimum performance of the AD process. In this study, batch assays were conducted to determine the optimal TS contents on the mesophilic AD of PD, PM, SB and SRT with TS contents of 5, 8, 11 and 15%, respectively. The highest biochemical methane potential (BMP) were found 254, 121, 205 and 23 NL kg−1VS for PD, PM, SB and SRT after digestion for 90 days at TS content of 11%, 15%, 11% and 8%, respectively. The results indicate that the initial TS influenced the AD performance significantly and modeling showed that the optimal initial TS content for AD of PD, PM and SB ranged between 12 and 13%.The only exception was SRT, where an initial TS content of 8% is recommended.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 484-493"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.10.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Research on system identification based on hydraulic pump-motor of HMCVT 基于液压泵-马达的HMCVT系统辨识研究

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-06-13 DOI: 10.1016/j.eaef.2019.06.004

Maohua Xiao, Jing Zhao, Yuewen Wang, Fei Yang, Jingjing Kang, Haijun Zhang

{"title":"Research on system identification based on hydraulic pump-motor of HMCVT","authors":"Maohua Xiao, Jing Zhao, Yuewen Wang, Fei Yang, Jingjing Kang, Haijun Zhang","doi":"10.1016/j.eaef.2019.06.004","DOIUrl":"10.1016/j.eaef.2019.06.004","url":null,"abstract":"<div>In order to study the speed ratio regulation and dynamic change of hydraulic mechanical continuously variable speed tractor, it is necessary to comprehend the dynamic characteristics of the hydraulic circuit. The identification method was adopted to study the pump-motor system of transmission. Firstly, the typical identification method of combination modeling was selected to establish the model, and then the corresponding experiments were designed to determine the transfer function parameters and models of the combined modeling. Based on these, through further simplification and indirect methods, with the help of MATLAB toolbox, a fast system identification method was established by calculating the transmission ratio of the pump motor system through the output speed of the gearbox, the engine speed and the drive ratio of the front gear of the pump, as well as the transmission ratio of the gearbox. Filter was used to remove the influence of noise during the experiment. Compared with the test data, the models established by the two identification methods have higher accuracy. The positive and negative fitting rates of the fast identification method are 91.85 and 91.13, respectively, which can meet the needs of subsequent research. This study can be used as a reference for the subsequent control design of transmission and the study on the quality of the transmission.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 420-426"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.06.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131473305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Improving the Fe and vitamin C content of the sago based liquid sugar with Moringa and Katuk leaf extracts 辣木叶和卡图克叶提取物提高西米液糖铁和维生素C含量

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-10-31 DOI: 10.1016/j.eaef.2019.10.003

Ansharullah Ansharullah , Dinda Aisyah Musfiroh , M. Natsir , Maulidiyah Maulidiyah , Muhammad Nurdin

{"title":"Improving the Fe and vitamin C content of the sago based liquid sugar with Moringa and Katuk leaf extracts","authors":"Ansharullah Ansharullah , Dinda Aisyah Musfiroh , M. Natsir , Maulidiyah Maulidiyah , Muhammad Nurdin","doi":"10.1016/j.eaef.2019.10.003","DOIUrl":"10.1016/j.eaef.2019.10.003","url":null,"abstract":"<div>Diversification of processed products based on sago flour has been made, including glucose syrup production, which may be used as a substitute for sucrose sugar in various processed foods. This sago starch-based glucose syrup may be improved its added value by fortifying antioxidant and iron ingredients derived from the extract of Moringa and Katuk leaves. We study the fortification effect of Moringa and Katuk leaf extract on the properties of glucose content, iron, and vitamin C (L-ascorbic acid) of the sago liquid sugar. This study used a Completely Randomized Design with six treatments, which were the combination of the extract of Moringa, Katuk, and liquid sugar. Based on this study, we obtain the fortification of Moringa and Katuk leaf extract had a significant effect on the iron and vitamin C content but had no significant effect on glucose content. The control of G0 had glucose content of 83.70%, and increasing the content of leaves extracts had decreased the glucose content. Iron (Fe) and vitamin C contents had improved, as the leaves extracts were increased. Treatment of G4 had given the highest content of Fe (3.35 mg/100 g), and treatment of G5 had resulted in the highest Vitamin C content (5.26 mg/100 g). This study indicated that sago flour may have a good prospect in producing a variety of nutritional food ingredients, and at the same time its added value may be made.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 494-498"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Tree leaf feature extraction and recognition based on geometric features and Haar wavelet theory 基于几何特征和Haar小波理论的树叶特征提取与识别

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-09-05 DOI: 10.1016/j.eaef.2019.09.002

Hongbo Mu, Haiming Ni, Miaomiao Zhang, Yang Yang, Dawei Qi

引用次数: 6

Thermal decomposition, kinetics and combustion parameters determination for two different sizes of rice husk using TGA 用热重分析仪测定两种不同尺寸稻壳的热分解、动力学和燃烧参数

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-08-30 DOI: 10.1016/j.eaef.2019.08.002

Saad El-Sayed

{"title":"Thermal decomposition, kinetics and combustion parameters determination for two different sizes of rice husk using TGA","authors":"Saad El-Sayed","doi":"10.1016/j.eaef.2019.08.002","DOIUrl":"10.1016/j.eaef.2019.08.002","url":null,"abstract":"<div>The present study concerns the thermal pyrolysis kinetics of sieved rice husk that was classified into two sizes (38–200 μm) and (200–1000 μm) by using Thermo-Gravimetric analysis (TGA) at different heating rate (HR) values under N2. The thermal pyrolysis analysis was presented and kinetic parameters as activation energy (E), frequency factor (A), and order of reaction (n) were determined by using three different kinetic models. The effect of heating rate (HR) and particle sizes on the chemical kinetic parameters were presented and discussed. Direct method gave lower values of E and A compared to the integral method. Results showed that as particle size increases, values of the activation energy (E) and frequency factor (A) nearly increase. The combustion characteristic parameters such as ignition, burnout and peak temperatures and their corresponding times were determined. It found that larger sizes (200–1000 μm) have a relatively lower ignition temperature, higher activation energy and noticeably lower ignition times as compared to the smaller sizes (38–200 μm).</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 460-469"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.08.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128828391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 21

Corrigendum to “Development and performance evaluation of automatic plum seed remover” [Eng. Agric. Environ. Food 12, (2) (April 2019) 250–255] 梅子自动除籽机的研制与性能评价[英文版]。阿格利司。环绕。食品12(2)(2019年4月)250-255]

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-10-31 DOI: 10.1016/j.eaef.2019.10.001

Mohammod Ali , Jaeyoon Cha , JinPark Seong , Tangina Akhter , ShimKim Gwang , WonYang Kyu , Seonwoo Hoon , JooKim Hyuck

引用次数: 0

Machine Learning predictive model of grapevine yield based on agroclimatic patterns 基于农业气候模式的葡萄产量机器学习预测模型

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-07-10 DOI: 10.1016/j.eaef.2019.07.003

Manisha S. Sirsat , João Mendes-Moreira , Carlos Ferreira , Mario Cunha

{"title":"Machine Learning predictive model of grapevine yield based on agroclimatic patterns","authors":"Manisha S. Sirsat , João Mendes-Moreira , Carlos Ferreira , Mario Cunha","doi":"10.1016/j.eaef.2019.07.003","DOIUrl":"10.1016/j.eaef.2019.07.003","url":null,"abstract":"<div>Grapevine yield prediction during phenostage and particularly, before harvest is highly significant as advanced forecasting could be a great value for superior grapevine management. The main contribution of the current study is to develop predictive model for each phenology that predicts yield during growing stages of grapevine and to identify highly relevant predictive variables. Current study uses climatic conditions, grapevine yield, phenological dates, fertilizer information, soil analysis and maturation index data to construct the relational dataset. After words, we use several approaches to pre-process the data to put it into tabular format. For instance, generalization of climatic variables using phenological dates. Random Forest, LASSO and Elasticnet in generalized linear models, and Spikeslab are feature selection embedded methods which are used to overcome dataset dimensionality issue. We used 10-fold cross validation to evaluate predictive model by partitioning the dataset into training set to train the model and test set to evaluate it by calculating Root Mean Squared Error (RMSE) and Relative Root Mean Squared Error (RRMSE). Results of the study show that rf_PF, rf_PC and rf_MH are optimal models for flowering (PF), colouring (PC) and harvest (MH) phenology respectively which estimate 1484.5, 1504.2 and 1459.4 (Kg/ha) low RMSE and 24.6%, 24.9% and 24.2% RRMSE, respectively as compared to other models. These models also identify some derived climatic variables as major variables for grapevine yield prediction. The reliability and early-indication ability of these forecast models justify their use by institutions and economists in decision making, adoption of technical improvements, and fraud detection.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 443-450"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.07.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133711517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Improvement of heat & mass transfer with added ozone into drying air on corn-soy 添加臭氧改善玉米-大豆干燥空气的传热传质

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-07-05 DOI: 10.1016/j.eaef.2019.07.001

Suian José Granella , Taise Raquel Bechlin , Divair Christ , Bruna Zanardi , Joemar Mendes Rego , Silvia Renata Machado Coelho

{"title":"Improvement of heat & mass transfer with added ozone into drying air on corn-soy","authors":"Suian José Granella , Taise Raquel Bechlin , Divair Christ , Bruna Zanardi , Joemar Mendes Rego , Silvia Renata Machado Coelho","doi":"10.1016/j.eaef.2019.07.001","DOIUrl":"10.1016/j.eaef.2019.07.001","url":null,"abstract":"<div>Corn and soy have wide-ranging uses in food and biofuel industries due to its nutritional and energetic properties. In the present work, artificial drying experiments with hot air convection in different temperatures (30, 40 and 50 °C) were carried out with the addition of ozone (5, 10 and 15 min) applying a central composite design (CCD). The effective diffusion coefficient Deff as thermodynamic properties was evaluated with and without the incorporation of ozone into drying air on corn and soy. The CCD showed different Deff values and a numeric model was fitted to moisture diffusion during the drying-ozonation process (DOP) on corn-soy. Activation energy decreased from 43.90 to 35.20 kJ mol−1 for corn and 38.23 to 34.29 kJ mol−1 for soy when ozone was added into the drying air; similar observation occurred to enthalpy and entropy. Thus, the drying-ozonation process can be useful for technological purposes for energy improvement during postharvest stages, as well as maintaining the quality of cereal products and design of new dryers.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 427-434"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.07.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A study on the optimal fermentation conditions for mixed by-products in livestock feed production 畜禽饲料生产中混合副产物最佳发酵条件的研究

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-09-05 DOI: 10.1016/j.eaef.2019.09.001

Seung Min Woo, Daniel Dooyum Uyeh, Junhee Kim, Dong Hyuck Hong, Tusan Park, Yu Shin Ha

{"title":"A study on the optimal fermentation conditions for mixed by-products in livestock feed production","authors":"Seung Min Woo, Daniel Dooyum Uyeh, Junhee Kim, Dong Hyuck Hong, Tusan Park, Yu Shin Ha","doi":"10.1016/j.eaef.2019.09.001","DOIUrl":"10.1016/j.eaef.2019.09.001","url":null,"abstract":"<div>Increase in global prices of grains further adds to difficulties in feeding livestock. Total Mixed Ration (TMR) formulated with food and agricultural by-products is considered as alternative animal feeds. However, it has associated problems particularly but not limited to decomposition due to high moisture content in most of them. To solve this problem, fermentation technology was brought up on TMRs. However, the fermentation condition may vary depending on the composition of the TMRs. This study set out to identify and determine a fermentation condition which can be applied regardless of the TMR composition. The Taguchi method L9 (34) orthogonal array was adopted in this research. The study considered 3 levels of 4 controllable factors (temperature, moisture content, bulk density, and fermentation period) and 2 uncontrollable factors (compositions and ratio of TMR samples). Quality score was calculated using the silage quality assessment method by analyzing pH and organic acid content (lactic acid, acetic acid, and butyric acid). Fermentation 40 L volume chamber (ϕ 300 × 400 H) was built and three TMR samples were fermented for the validation test. Results indicated that animal feed formulated with by-products had the highest quality score at a fermentation temperature of 20 °C, moisture content of 50%, a bulk density of 0.6 kg/m3, at 96-h fermentation period. This fermentation condition delivers the silage quality score of over 82 regardless of the composition of the materials used in formulating the feed.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 470-476"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.eaef.2019.09.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123631820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Research on simultaneous detection of SSC and FI of blueberry based on hyperspectral imaging combined MS-SPA 基于高光谱成像结合MS-SPA同时检测蓝莓中SSC和FI的研究

Engineering in Agriculture, Environment and Food Pub Date : 2019-10-01 Epub Date: 2019-11-11 DOI: 10.1016/j.eaef.2019.11.006

Shicheng Qiao , Youwen Tian , Wenjun Gu , Kuan He , Ping Yao , Shiyuan Song , Jianping Wang , Haoriqin Wang , Fang Zhang

{"title":"Research on simultaneous detection of SSC and FI of blueberry based on hyperspectral imaging combined MS-SPA","authors":"Shicheng Qiao , Youwen Tian , Wenjun Gu , Kuan He , Ping Yao , Shiyuan Song , Jianping Wang , Haoriqin Wang , Fang Zhang","doi":"10.1016/j.eaef.2019.11.006","DOIUrl":"10.1016/j.eaef.2019.11.006","url":null,"abstract":"<div>To rapidly and accurately detect the quality of blueberry, hyperspectral imaging (HSI) technique was used to simultaneously detect the soluble solids content (SSC) and firmness (FI) of blueberry. In total, 204 blueberry samples, including 164 samples in Calibration set and 40 samples in prediction set, were investigated in this study. Multi-stage successive projections algorithm (MS-SPA) and SPA1/SPA2 were proposed to select a few feature wavelengths from the spectral region of 450–950 nm. Prediction models were developed based on partial least squares regression (PLSR), support vector regression (SVR) and back propagation neural network (BPNN) model. The results showed that prediction model based on MS-SPA performed better in prediction results. Furthermore, the prediction based on BPNN model was better than that based on PLSR and SVR models, which used full spectrum (FS), SPA1/SPA2, MS-SPA, respectively, to select feature wavelengths. This research suggested that MS-SPA-BPNN model, which obtained the best prediction results of SSC (RP = 0.894, RMSEP = 0.220), and FI (RP = 0.843, RMSE = 0.225), was a reliable tool to detect SSC and FI simultaneously. The visualization of distribution map of parameters was an intuitive and convenient measurement for quality detection of blueberry. The method could provide a theoretical basis for developing an online detecting and grading system of blueberry quality based on multispectral imaging technique.</div>","PeriodicalId":38965,"journal":{"name":"Engineering in Agriculture, Environment and Food","volume":"12 4","pages":"Pages 540-547"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121591968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7