Forestry Digital Twin With Machine Learning in Landsat 7 Data

Jiang, Xuetao; Jiang, Meiyu; Gou, Yuchun; Li, Qian; Zhou, Qingguo

doi:10.3389/fpls.2022.916900

Cited by 10 publications

(6 citation statements)

References 17 publications

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“…Комарова (2016) [23]. 16 ------------------------------------------------------------------- Информационные RCM-системы [36;65] предназначены для робастного управления ТО и Р по ключевым параметрам вероятности отказов и готовности узлов и агрегатов лесных машин, основанных на теории надежности. RCM-системы работают в направлении сокращения рисков ТО и Р лесных машин, а также оптимального распределения работ [24][25][26].…”

Section: технологии машины и оборудованиеunclassified

“…При необходимости проведения планового технического обслуживания, а также ремонта, на место работы или стоянки техники выезжает мобильная ремонтная бригада, как правило, официального дилера [64], вследствие того, что техника сложная и требует соответствующего уровня квалификации персонала, оригинальных запчастей и технологических жидкостей. Широкое применение электронных систем также обуславливает необходимость их диагностирования и настройки, для чего нужно фирменное диагностическое оборудование и сканеры, доступ к порталу с технической информацией производителя машины, что также возможно только для официальных дилеров В связи с цифровизацией экономики [10,11] и переходом на новый технологический уклад [12,13,14] особую значимость приобретает задача широкого внедрения цифровых двойников, позволяющих создать цифровую копию физических объектов и, посредством технологии «Интернета вещей» [15,16], получать информацию о состоянии объекта в режиме реального времени.…”

Section: Introductionunclassified

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Software for managing of maintenance and repair system of forest machines: assessment of applicability

Zaikin,

Sivakov,

Novikova

et al. 2023

Forestry Engineering Journal

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Modern enterprises of the forest complex are a sphere of production, in which information technologies are increasingly being introduced to increase efficiency. To improve the efficiency of maintenance and repair of forest machines for forestry and forestry industries, it is necessary to evaluate the possibility of using specialized software in forestry and logging industries. To compare the functionality and deployment capabilities, various programs of domestic and foreign manufacturers are considered, used both for automating repair work and for managing maintenance and repair. A comparative assessment of the similarities and differences of software products based on cluster analysis of binary data interpreted by the method of intergroup relations using the Jac-card measure is carried out. Due to the specifics of forestry enterprises (forest machines are located at a consid-erable distance from the service base), in order to monitor the technical condition, it is necessary that forest ma-chines be equipped with a diagnostic system and data transmission facilities. When choosing a specific software, it is necessary to rely on such parameters as the size of the enterprise of the forest complex, its needs, financial capabilities. The software should be integrated into a single information space that allows the use of digital twin’s technology.

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Section: технологии машины и оборудованиеunclassified

Section: Introductionunclassified

Software for managing of maintenance and repair system of forest machines: assessment of applicability

Zaikin,

Sivakov,

Novikova

et al. 2023

Forestry Engineering Journal

View full text Add to dashboard Cite

show abstract

“…This model was proven to be effective in the detection and localization of tree canopies, achieving performance levels up to 99%. Jiang et al predicted forest change trends in the study area using a DT approach based on machine learning 20 . This DT was based on remote sensing imagery from the Landsat 7 satellite to investigate forestry canopy, species, and distribution succession.…”

Section: Introductionmentioning

confidence: 99%

An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture

Kim,

Heo

2024

Nat Commun

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A digital twin is a digital representation that closely resembles or replicates a real world object by combining interdisciplinary knowledge and advanced technologies. Digital twins have been applied to various fields, including to the agricultural field. Given big data and systematic data management, digital twins can be used for predicting future outcomes. In this study, we endeavor to create an agricultural digital twin using mandarins as a model crop. We employ an Open API to aggregate data from various sources across Jeju Island, covering an area of approximately 185,000 hectares. The collected data are visualized and analyzed at regional, inter-orchard, and intra-orchard scales. We observe that the intra-orchard analysis explains the variation of fruit quality substantially more than the inter-orchard analysis. Our data visualization and analysis, incorporating statistical models and machine learning algorithms, demonstrate the potential use of agricultural digital twins in the future, particularly in the context of micro-precision and individualized agriculture. This concept extends the current management practices based on data-driven decisions, and it offers a glimpse into the future of individualized agriculture by enabling customized treatment for plants, akin to personalized medicine for humans.

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“…Although complex simulations are still insufficient to meet engineering requirements, high-precision simulations that reflect the real-time operating details of components may take several hours to complete. Therefore, relying solely on high-precision simulations is impractical and unfeasible [19]. An alternative solution, which has garnered much attention, is to use proxy modeling to capture the main features of the original model.…”

Section: Iintroductionmentioning

confidence: 99%

State Perception and Prediction of Digital Twin Based on Proxy Model

Wang

et al. 2023

IEEE Access

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The maintenance of critical components plays a crucial role in ensuring the overall stable operation of equipment and minimizing damages caused by functional errors. However, Traditional operation and maintenance (O&M) modes suffer from problems such as reliance on empirical judgment, lack of data support, insufficient preventive maintenance, and inadequate collaborative management. To address these issues, a viable approach is to adopt more intelligent O&M modes. Based on the characteristics of digital twin technology, such as virtual interaction and real-time feedback, a digital twin framework for critical component maintenance of equipment is proposed, providing a new approach for the practical application of digital twin in intelligent maintenance processes. This framework consists of two key components: the digital twin maintenance model and the proxy model. The process of establishing the digital twin model is elaborated in detail, and a mechanism that integrates digital twin technology and the proxy model is proposed, along with a prediction process based on the fusion of simulation and monitoring data. Finally, based on the summary of the modeling process and the proxy model, a visualization interface for intelligent maintenance of components is built using relevant engineering software.

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Forestry Digital Twin With Machine Learning in Landsat 7 Data

Cited by 10 publications

References 17 publications

Software for managing of maintenance and repair system of forest machines: assessment of applicability

Software for managing of maintenance and repair system of forest machines: assessment of applicability

An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture

State Perception and Prediction of Digital Twin Based on Proxy Model

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