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Machine vision-based automatic fruit quality detection and grading
《农业科学与工程前沿（英文）》 doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading.
关键词： Computer and machine vision convolution neural network deep learning defective fruit detection fruit grading microcontroller
《环境科学与工程前沿（英文）》 2022年 第16卷 第3期 doi: 10.1007/s11783-021-1461-z
• Transformation of agro-industrial waste to value-added material via green chemistry.
关键词： Agro-industrial waste Orange peel Valorization Nanodiamond-like carbon Atropine sulphate Fluorescence sensing
null
《机械工程前沿（英文）》 2014年 第9卷 第2期 页码 130-141 doi: 10.1007/s11465-014-0298-6
Fault diagnosis of rolling element bearings requires efficient signal processing techniques. For this purpose, the performances of envelope detection with fast Fourier transform (FFT) and continuous wavelet transform (CWT) of vibration signals produced from a bearing with defects on inner race and rolling element, have been examined at low signal to noise ratio. Both simulated and experimental signals from identical bearings have been considered for the purpose of analysis. The bearings have been modeled as spring-mass-dashpot systems and the simulated signals have been obtained considering transfer functions for the bearing systems subjected to impulsive loads due to the defects. Frequency B spline wavelets have been applied for CWT and a discussion on wavelet selection has been presented for better effectiveness. Results show that use of CWT with the proposed wavelets overcomes the short coming of FFT while processing a noisy vibration signals for defect detection of bearings.
关键词： Fault detection spline wavelet continuous wavelet transform fast Fourier transform
YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION
《农业科学与工程前沿（英文）》 2021年 第8卷 第4期 页码 583-593 doi: 10.15302/J-FASE -2020325
The effects of regulated deficit irrigation (RDI) on the performance of almond cv. Tuono, peach cv. JH-Hall and plum cv. Stanley were assessed on the Saiss Plain (NW, Morocco) over three consecutive growing seasons (2011–2013). Irrigation treatments consisted of a control, irrigation applied to fully satisfy crop water requirements (100% ETC), and two RDI treatments, irrigation applied to 75% ETC (RDI-75) and 50% ETC (RDI-50). These three treatments were applied during fruit-growth slowdown periods corresponding to Stages II and III in almond and Stage II in peach and plum. Yield and fruit quality traits were determined. The effect of RDI differed between species. Yield and fruit size were reduced significantly only in peach under RDI-50. Fruit quality improved in this species in the first year of the experiment, with an increase of sugar/acid ratio and polyphenol content. Plum quality also improved but the effects were significant only in the second and third years. Similar results were recorded in almond kernel, but their epidermal grooves were deeper under RDI-50, and this may have affected their commercial value. It is concluded that water can be saved during the fruit-growth slowdown period by up to 25% in peach and 50% in almond and plum with improvements in fruit quality without affecting total yield.
Recent advances in fruit crop genomics
Qiang XU,Chaoyang LIU,Manosh Kumar BISWAS,Zhiyong PAN,Xiuxin DENG
《农业科学与工程前沿（英文）》 2014年 第1卷 第1期 页码 21-27 doi: 10.15302/J-FASE-2014002
Enhanced photocatalytic water splitting with surface defective SrTiO
Junying LIU, Zhidong WEI, Wenfeng SHANGGUAN
《能源前沿（英文）》 2021年 第15卷 第1期 页码 700-709 doi: 10.1007/s11708-021-0735-2
关键词： SrTiO3 surface reconstruction oxygen vacancies photocatalytic water splitting
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
《农业科学与工程前沿（英文）》 2018年 第5卷 第4期 页码 475-484 doi: 10.15302/J-FASE-2018241
At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employed to acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees under natural illumination conditions. First, successive projections algorithm (SPA) were implemented to select 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral images for further processing. Then, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image backgrounds. Three slope parameters, calculated from the pairs 405 and 563 nm, 563 and 677 nm, and 804 and 962 nm were used to construct a classifier to identify the potential citrus fruit. Then, a marker-controlled watershed segmentation based on wavelet transform was applied to obtain potential fruit areas. Finally, a green fruit detection model was constructed according to Grey Level Co-occurrence Matrix (GLCM) texture features of the independent areas. Three supervised classifiers, logistic regression, random forest and support vector machine (SVM) were developed using texture features. The detection accuracies were 79%, 75%, and 86% for the logistic regression, random forest, and SVM models, respectively. The developed algorithm showed a great potential for identifying immature green citrus for an early yield estimation.
关键词： hyperspectral green citrus image processing fruit detection precision agriculture yield mapping
《农业科学与工程前沿（英文）》 2021年 第8卷 第2期
Fruit ripening is a complex developmental process made up of genetically programmed physiological and biochemical activities. It culminates in desirable changes in the structural and textural properties and is governed by a complex regulatory network. Much is known about ethylene, one of the most important metabolites promoting the ripening of climacteric fruits. However, the dynamic interplay between phytohormones also plays an important part. Additional regulatory factors such as transcription factors (TFs) and epigenetic modifications also play vital role in the regulation of climacteric fruit ripening. Here, we review and evaluate the complex regulatory network comprising interactions between hormones and the action of TFs and epigenetic modifications during climacteric fruit ripening.
关键词： climacteric fruit ripening / phytohormones / TFs / epigenetic modifications
Yinglin JI, Mingyang XU, Aide WANG
《农业科学与工程前沿（英文）》 页码 314-334 doi: 10.15302/J-FASE-2021386
关键词： climacteric fruit ripening phytohormones TFs epigenetic modifications
Mohammad SALAVATI, Arvin MOJAHEDIN, Ali Hossein Nezhad SHIRAZI
《结构与土木工程前沿（英文）》 2020年 第14卷 第3期 页码 623-631 doi: 10.1007/s11709-020-0616-5
关键词： hexagonal boron-nitride mechanical properties crack notch point defects molecular dynamics
《农业科学与工程前沿（英文）》 2021年 第8卷 第2期
Fruit cracking is a major disorder that affects the integrity of fruit and reduces the commercial value of tomato and other fleshy fruit. Here, we have found a novel fruit ‘netted-cracking’ (FNC) phenotype in tomato introgression line IL4-4 which is present in neither the donor parent (LA0716) nor the receptor parent (M82). An F2 population was generated by crossing IL4-4 with M82 to genetically characterize the FNC gene and this showed that a single dominant gene determined fruit netted-cracking. Further map-based cloning narrowed down the FNC locus to a 230 kb region on chromosome 4. Sequencing and annotation analysis show that FNC(Solyc04 g082540) was the most likely candidate gene. Functional characterization of FNC by overexpressing FNCAC and FNCIL4-4resulted in the fruit netted-cracking phenotype, suggesting that the FNC transcript level results in the functional gain of fruit netted-cracking. These findings were further confirmed by FNC ortholog in netted-cracking pepper and melon, indicating a common regulatory mechanism in different plant species. Furthermore, cytoplasm and nucleus-localized FNC indicates increased expression of genes involved in suberin, lignin, lipid transport and cell wall metabolism. These findings provide novel genetic insights into fruit netted-cracking and offer a way to promote molecular improvement toward cracking resistant cultivars.
关键词： fine mapping / fruit netted-cracking / introgression line / transcript level
束怀瑞
《中国工程科学》 2003年 第5卷 第2期 页码 45-48
介绍了我国果树资源及果树产业、科研当前水平；阐述了有关果业发展拟研究的五个问题：（1）果树传统品种组群与现代化生产及专业化；（2）果树发展与生态环境建设；（3）重视果树根系研究；（4）果品加工发展要加速研究与中试，加工产业发展要注意科学进程和大、中、小企业结合；（5）建立果品优质生产工程的技术体系。具体包括：品种组合与专业化，“世界品种”，名特优品种的不断选育，无公害基地的环境保护，根系研究对持续发展和提高产量品质的潜力，营养基因型根系，生根基因，建立质量工程技术体系，果品加工业的逐步进程等。
关键词： 果树资源 品种组合 果树根系 果品加工 果树优质工程技术体系
YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION
Rachid RAZOUK, Abdellah KAJJI, Anas HAMDANI, Jamal CHARAFI, Lahcen HSSAINI, Said BOUDA
《农业科学与工程前沿（英文）》 2021年 第8卷 第4期 页码 583-593 doi: 10.15302/J-FASE-2020325
关键词： fruit quality fruit yield Prunus domestica Prunus dulcis Prunus persica regulated deficit irrigation
数据驱动的加工过程异常诊断 Article
Y.C. Liang, S. Wang, W.D. Li, X. Lu
《工程（英文）》 2019年 第5卷 第4期 页码 646-652 doi: 10.1016/j.eng.2019.03.012
为了在计算机数控（CNC）加工过程中实现零缺陷生产，开发有效的异常检测诊断系统势在必行。然而，由于加工过程中机床和工装的动态条件限制，目前在工业生产中采用的相关诊断系统所能发挥的作用往往非常有限。为了解决这个问题，本文提出了一种全新的异常数据驱动的诊断系统。在该系统之中，我们持续收集随动态加工过程而产生的状态监测功率数据，并以此支持在线诊断分析。为了便于分析，我们设计了预处理机制对所监视的数据进行去噪、标准化以及校准。随后我们即从监控数据中提取关键特征，并定义阈值以识别异常。考虑到加工过程中机床和工装的动态条件，用于识别异常的阈值可以调整。我们还可以基于历史数据利用果蝇优化（FFO）算法优化阈值，以实现更准确的检测。通过实践验证，我们证明了该系统在工业应用中的有效性和巨大前景。
学士钊
《中国工程科学》 2001年 第3卷 第6期 页码 81-88
由数量型向质量型转变，是苹果栽培的世界性动向。栽培者应该放弃只追求果品高额产量的过时做法，实施每公顷只产30 000 kg ，以达到最高的果品质量为目标，来保持果园的良性发展和增强果品抢占市场的优势。
标题 作者 时间 类型 操作
Valorization of agro-industrial fruit peel waste to fluorescent nanocarbon sensor: Ultrasensitive detection
期刊论文
through wavelet transform vis-à-vis fast Fourier transform of noisy vibration signals emanated from defective
null
期刊论文
Recent advances in fruit crop genomics
Qiang XU,Chaoyang LIU,Manosh Kumar BISWAS,Zhiyong PAN,Xiuxin DENG
期刊论文
Enhanced photocatalytic water splitting with surface defective SrTiO
Junying LIU, Zhidong WEI, Wenfeng SHANGGUAN
期刊论文
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
期刊论文
RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC
期刊论文
RECENT ADVANCES IN THE REGULATION OF CLIMACTERIC FRUIT RIPENING: HORMONE, TRANSCRIPTION FACTOR AND EPIGENETIC
Yinglin JI, Mingyang XU, Aide WANG
期刊论文
Mechanical responses of pristine and defective hexagonal boron-nitride nanosheets: A molecular dynamics
Mohammad SALAVATI, Arvin MOJAHEDIN, Ali Hossein Nezhad SHIRAZI
期刊论文
FUNCTIONAL GAIN OF FRUIT NETTED-CRACKING IN AN INTROGRESSION LINE OF TOMATO WITH HIGHER EXPRESSION OF
期刊论文
YIELD AND FRUIT QUALITY OF ALMOND, PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION
Rachid RAZOUK, Abdellah KAJJI, Anas HAMDANI, Jamal CHARAFI, Lahcen HSSAINI, Said BOUDA
期刊论文
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