检索结果-内蒙古大学图书馆

Empirical mode decomposition of near-infrared spectroscopy signals for predicting oil content in palm fruits

Information Processing in Agriculture 2023年第3期10卷 289-300页

作者： Inna Novianty Ringga Gilang Baskoro Muhammad Iqbal Nurulhaq Muhammad Achirul Nanda Computer Engineering Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Informatics Management Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Technology and Plantation Production Management Study Program College of Vocational StudiesIPB UniversityBogor 16680Indonesia Department of Agricultural and Biosystem Engineering Faculty of Agro-Industrial TechnologyUniversitas PadjadjaranJatinangor 45363Indonesia

Oil content estimation in palm fruits is a precious property that significantly impacts oil palm production,starting from the upstream and *** content can be used to monitor the progress of the oil palm fresh fruit bunch(FFB)and be applied to identify product *** on the near-infrared(NIR)signals,this study proposes an empirical mode decomposition(EMD)technique to decompose signals and predict the oil content of palm ***,350 palm fruits with Tenera varieties(Elaeis guineensis ***),at various ages of maturity,were harvested from the Cikabayan Oil Palm Plantation(ipb university,Indonesia).Second,each sample was sent directly to the laboratory for NIR signal measurements and oil content ***,the EMD analysis and arti-ficial neural network(ANN)were employed to correlate the NIR signals and oil ***,a robust EMD-ANN model is generated by optimizing the lowest possible *** on performance evaluation,the proposed technique can predict oil content with a coefficient of determination(R2)of 0.933±0.015 and a root mean squared error(RMSE)of 1.446±*** results demonstrate that the model has a good predictive capacity and has the potential to predict the oil content of palm fruits directly,without neither solvents nor reagents,which makes it environmentally ***,the proposed technique has a promising potential to be applied in the oil palm *** like this will lead to the effective and efficient management of oil palm production.

关键词： Artificial neural network Empirical mode decomposition Oil palm Oil content prediction

来源：评论

学校读者我要写书评

暂无评论

An Extensive Overview of Block Chain-based Financing in Coffee Supply Chain: Exploration and Exploitation

An Extensive Overview of Block Chain-based Financing in Coff...

引用

agrosystem engineering, Technology & Applications (AGRETA), IEEE International Conference on

作者： Agriananta Fahmi Hidayat Taufik Djatna Indah Yuliasih Ono Suparno Post Graduate Study Program in Agro-industrial Engineering IPB university Agriculture Engineering Universitas of Mataram Bogor Indonesia Agro-industrial Engineering IPB University Bogor Indonesia

ISBN: (数字)9798350373660

ISBN: (纸本)9798350373677

This research explores the impact of blockchain-based financing strategies on the coffee supply chain, focusing on improving financial procedures, increasing transparency, and refining supply chain management methodologies. Implementing blockchain technology in the supply chain leads to a more efficient, secure, and collaborative financial system in the coffee industry. Our study categorizes existing research into four stages: summarization, synthesis, comparison, and critique. Findings indicate that blockchain integration can significantly address transparency, fair trade, and trust issues within coffee supply chains. This paper proposes modifications to existing models better to fit the unique requirements of coffee supply chain processes, highlighting areas for future research.

关键词： Industries Supply chain management Supply chains Refining Finance Focusing Collaboration Blockchains Context modeling

来源：评论

学校读者我要写书评

暂无评论

Design of intelligent decision support system for supply chain sustainability assessment 8

Design of intelligent decision support system for supply cha...

引用

8th International Conference on Computer Science and Computational Intelligence, ICCSCI 2023

作者： Asrol, Muhammad Yani, Moh Machfud Papilo, Petir Mursida, Sri Marimin Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Agro-Industrial Technology IPB University Bogor Indonesia Industrial Engineering Department State Islamic University Sultan Syarif Kasim Pekanbaru Riau Indonesia

The objective of this research is to develop an intelligent decision support system (IDSS) that can aid decision-makers in enhancing the performance and sustainability of the sugarcane agroindustry's supply chain. A case study focusing on a sugarcane agroindustry supply chain was proposed. The IDSS was developed using the waterfall approach, which follows the system development life cycle (SDLC) and employed an object-oriented programming technique. The outcome of this study is a prototype of the IDSS, consisting of a database, model base, and knowledge-based management system configuration. To evaluate the sustainability of the supply chain, a fuzzy inference system and an adaptive fuzzy inference system algorithm were utilized. Through verification and validation, it was determined that the IDSS prototype has the potential to be implemented in real-world scenarios, as long as certain assumptions related to the model are taken into consideration. © 2023 The Authors. Published by Elsevier B.V.

关键词： Fuzzy Inference System Intelligent Decision Support System Supply Chain: Sustainability

来源：评论

学校读者我要写书评

暂无评论

Electrochemical Biosensor Utilizing Alkaloids and Tannins from Areca Nuts for Environmental Quality Application

Electrochemical Biosensor Utilizing Alkaloids and Tannins fr...

引用

2024 IEEE International Conference on agrosystem engineering, Technology and Applications, AGRETA 2024

作者： Salam, Rudi Suprihatin Indrasti, Nastiti Siswi Syamsu, Khaswar Sarifuddin, Wahid Sidik Rachman, Muhammad Gazali Adriyansyah Postgraduate Program in Agro-industrial Engineering Ipb University Bogor Indonesia Ipb University Department of Agro-industrial Engineering Bogor Indonesia Brunei Universiti Brunei Darussalam Faculty of Geosciences Brunei PT. Freeport Indonesia Timika Indonesia

ISBN: (纸本)9798350373660

The increasing need for sustainable and efficient methods to monitor environmental quality has led to the exploration of natural compounds in biosensing. This paper presents the design and evaluation of an electrochemical biosensor based on alkaloids and tannins for environmental quality applications. The primary objective is to develop a highly sensitive and selective biosensor for detecting pollutants in water, air, and soil. The methodology involves the use of SACMES software to simulate and analyze the performance of the biosensor, specifically focusing on relative sensitivity and confinement loss within the frequency range of 1.0 to 2.0 THz. Results demonstrate that the proposed biosensor achieves sensitivities over 96% and confinement losses below 10-13 dB/m. These findings indicate the potential of alkaloid and tannin-based biosensors as effective tools for environmental monitoring, offering high precision and environmental sustainability. © 2024 IEEE.

关键词： Electrochemical biosensors

来源：评论

学校读者我要写书评

暂无评论

Electrochemical Biosensor Utilizing Alkaloids and Tannins from Areca Nuts for Environmental Quality Application

Electrochemical Biosensor Utilizing Alkaloids and Tannins fr...

引用

agrosystem engineering, Technology & Applications (AGRETA), IEEE International Conference on

作者： Rudi Salam Suprihatin Nastiti Siswi Indrasti Khaswar Syamsu Wahid Sidik Sarifuddin Muhammad Gazali Rachman Adriyansyah Postgraduate Program in Agro-industrial Engineering IPB University Bogor Indonesia Department of Agro-industrial Engineering IPB University Bogor Indonesia Centre for Advanced Material and Energy Sciences (CAMES) Universiti Brunei Darussalam Brunei Faculty of Geosciences Universiti Brunei Darussalam Brunei PT. Freeport Indonesia Timika Indonesia

ISBN: (数字)9798350373660

ISBN: (纸本)9798350373677

The increasing need for sustainable and efficient methods to monitor environmental quality has led to the exploration of natural compounds in biosensing. This paper presents the design and evaluation of an electrochemical biosensor based on alkaloids and tannins for environmental quality applications. The primary objective is to develop a highly sensitive and selective biosensor for detecting pollutants in water, air, and soil. The methodology involves the use of SACMES software to simulate and analyze the performance of the biosensor, specifically focusing on relative sensitivity and confinement loss within the frequency range of 1.0 to 2.0 THz. Results demonstrate that the proposed biosensor achieves sensitivities over 96% and confinement losses below 10 -13 dB/m. These findings indicate the potential of alkaloid and tannin-based biosensors as effective tools for environmental monitoring, offering high precision and environmental sustainability.

关键词： Electric potential Sensitivity Green products Focusing Soil Water pollution Software Biosensors Environmental monitoring Compounds

来源：评论

学校读者我要写书评

暂无评论

Design of intelligent decision support system for supply chain sustainability assessment

引用

Procedia Computer Science 2023年 227卷 659-669页

作者： Muhammad Asrol Moh. Yani Machfud Petir Papilo Sri Mursida Marimin Industrial Engineering Department BINUS Graduate Program – Master of Industrial Engineering Bina Nusantara University Jakarta 11480 Indonesia Department of Agro-Industrial Technology IPB University Bogor Indonesia Industrial Engineering Department State Islamic University Sultan Syarif Kasim Riau Pekanbaru Indonesia

关键词： Intelligent Decision Support System Fuzzy Inference System Supply Chain: Sustainability

来源：评论

学校读者我要写书评

暂无评论

Drone Spray For Stem Base Rot Disease Detection In Oil Palm Plants

Drone Spray For Stem Base Rot Disease Detection In Oil Palm ...

引用

International Conference on Informatics and Computing (ICIC)

作者： Inna Novianty Gema Parasti Mindara Ade Astri Muliasari Faldiena Marcelita Lathifunnisa Fathonah Muhammad Achirul Nanda Computer Engineering Technology Program College of Vocational Studies IPB University Bogor Indonesia Technology and Management of Plantation Program College of Vocational Studies IPB University Bogor Indonesia Department of Agricultural and Biosystem Engineering Faculty of Agro-Industrial Technology Universitas Padjadjaran Sumedang Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Early detection of stem base rot disease in oil palm is a considerable challenge in plantation management, given that the early symptoms of the disease are difficult to identify visually. This research develops a drone-based detection system using the Pi NoIR V2 camera and NIR image analysis, supported by the Mamdani fuzzy method for data interpretation. The dataset consists of 70 oil palm trees selected based on the variation of image conditions captured by the camera, the data taken for analysis at a height of 50 meters above the ground to produce a precise image. This research fills a gap in the automatic detection of stem base rot disease, with novelty in the integration of drone technology, NIR analysis, and fuzzy logic. NDVI and reflectance analysis of the captured images enabled classification of tree health, with results showing the difference between healthy and disease-indicated trees.

关键词： Fuzzy logic Oils Plantations Vegetation Sensor phenomena and characterization Cameras Reliability Sustainable development Diseases Drones

来源：评论

学校读者我要写书评

暂无评论

The potential of Eucheuma cottonii extract as a candidate for fish anesthetic agent

引用

Aquaculture and Fisheries 2022年第4期7卷 427-432页

作者： Ninik Purbosari Endang Warsiki Khaswar Syamsu Joko Santoso Study Program of Aquaculture Politeknik Negeri LampungJalan Soekarno Hatta No 10 Rajabasa Bandar Lampung35144Indonesia Department of Agro-Industrial Engineering Faculty of Agricultural TechnologyIPB UniversityJalan Lingkar Akademik Kampus IPBDarmaga Bogor16680Indonesia Department of Aquatic Products Technology Faculty of Fisheries and Marine ScienceIPB UniversityJalan Lingkar Akademik Kampus IPBDarmaga Bogor16680Indonesia

Red seaweed species Eucheuma cottonii was thought to have potential as an anesthetic agent because it is shown to contain compounds with bioactivity as antimicrobial,antifungal,and also *** have been no studies regarding the active ingredients of *** objective of the study was to examine the potential of *** extract as a candidate for fish anesthetic based on toxicity,phytochemistry,and active compounds contained in the *** stages of research include extraction,toxicity test extracts(BSLT),phytochemical test,quantitative test compound phytochemical results,and the identification of active compounds with *** results showed that *** extract contains a total of phenols of 4.60±0.06 mg/GAE g which is one presentation of the active ingredient in the *** extract had bioactivity with LC_(50) of 221.71±5.74μg/*** extract contained flavonoids compounds and saponins with a consecutive number of 24.48%and 0.22%.The results of identifying active compounds were found in several compounds that had activity asantidepressants or *** extract can be used as a candidate for a fish anesthetic agent.

关键词： Active compounds Eucheuma cottonii Fish anesthetic Phenol

来源：评论

学校读者我要写书评

暂无评论

Indonesian agroindustry Business Agility: Enablers and Challenges in the Poultry Industry Based on ISM Model

SSRN

引用

SSRN 2023年

作者： Ali, Puti Retno Machfud, Machfud Sukardi, Sukardi Noor, Erliza Purnomo, Dwi Graduate Program of Agro-industrial Engineering Faculty of Agricultural Engineering and Technology IPB University Bogor Agricultural University PO Box 220 West Java Bogor16002 Indonesia Department of Agroindustrial Engineering Padjadjaran University Bandung Indonesia

Indonesian agroindustry is a crucial sector in food security. One of the agroindustries is the poultry which plays a role in providing animal protein. However, like other agroindustries in Indonesia, the poultry industry has so far faced stiff competition with the changing business situation. The rigid and static structures of the Indonesian poultry industry are reflected in bureaucracy, fear-based cultures, the inefficiency of functional silos, and aversion to change. Therefore, agility needs to be incorporated into the poultry industry. This study aims to identify and analyze the key challenges and enablers’ components and construct a structural interpretation model of the problems and enablers using Interpretative Structural Modeling (ISM), real development, and expert opinions. The hierarchical structure of those factors in the usage of ISM is established, reflecting a logical linkage of the influencing element. The level of hierarchical structure also identifies the major challenges to attaining business agility: The difficulties of changing the culture of working and challenging to shift the mindset from the prior state to a more agile. Meanwhile, management response and knowledge agility are key enablers to achieve business agility. The results of this study are expected to be the input for further research, designing a conceptual model of business agility. © 2023, The Authors. All rights reserved.

关键词： Competition

来源：评论

学校读者我要写书评

暂无评论

Optimization of beef quality in reverse logistic

引用

AIP Conference Proceedings 2023年第1期2827卷

作者： Paduloh Paduloh Taufik Djatna Industrial Engineering Program Study Bhayangkara Jakarta Raya University Bekasi Indonesia Agro-Industrial Engineering Program Study IPB University Bogor Indonesia

The COVID-19 pandemic has an impact on decreasing demand for beef. This condition affects the accumulation of beef stock, which impacts the return of beef products from retailers to distributors. This study aims to develop a model that can reduce risk and optimize costs resulting from returned products. Reverse logistics is a widely used method of handling returned products adding value to the product. In this study, reverse logistic activities are carried out by creating a mathematical model to maximize the product control function by creating a product inspection schedule and a product repair schedule. The formulations used PILP, and the formulations were tested using the LINGO 17.0 software. This study produces a robust model of the change in the amount and quantity of labor returned products and product quantity models with category R. From this study; it is also found the reasons why customers return the delivered meat, namely specifications, product quality, packaging, delivery process, and labor.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：