Creating a digital twin of an agricultural machine

Abstract

In this paper, the authors developed an approach to creating a digital twin or an electronic model of complex agricultural machinery and proposed its structure as a set of frames. It is represented by a tuple that includes: a frame describing structural composition of the technical system under consideration; a frame describing the properties that characterize it as a whole; a set of ways to determine its properties; a set of attributive characteristics; a set of parametric graphic models of elements and a set of two-dimensional drawings. Examples of digital twins of agricultural machinery are given: a combined unit for soil preparation and sowing of grain crops and a unit for cleaning and calibration of grain seeds.

Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm

“…Vertical farming Environmental conditions assessment, identification of forecasting and decision support models, monitoring and optimization of agri-food lifecycle [36] Plant/tree Plant condition monitoring including structure, health, stress, and quality of fruit [31] Robot Analysis and performance evaluation, robot selection, and navigation [35] Robot Simulation of field environment, autonomous robot navigation [68] Agricultural machinery Development and advantages of business models for potato harvesting [59] Agricultural landscape Resource distribution management over different stakeholders in agriculture [72] Crop Forecasting yield and duration of plant development [33] Agricultural machinery Development of three-dimensional geometric models, drawings of devices, mechanisms, and the attributive data [87] Plant Detection of plant diseases and nutrient efficiency [32] Crop/hydroponic farm Identification of crop growth parameters such as lighting, external temperature, and ventilation systems [73] Crop Optimize productivity, climate control strategies, and crop treatment management in controlled environment agriculture [74] Robot Co-simulation of robot environment, prediction of robot movement, and safety monitoring [67] Table 4. Summary of digital twin for post-harvest process.…”

Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

“…The big data technology is often involved in digital twin for accurate calculation, as it can effectively mine the hidden and effective data, which greatly improves the intelligence of digital twin [45] and the applicability. Digital twin as a new technology has been applied in various fields, such as aerospace [46][47][48][49][50], industry manufacturing [51][52][53], 3D printing [54,55], medical services [56][57][58][59], bio-manufacturing [60], agricultural machine [61], robots [62][63][64], power industry [65,66], smart city [67], pressure vessel [68], machining [69][70][71][72], automatic transportation [73], roads infrastructure [74], construction system [75], as listed in Table 1.…”