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Journal articles on the topic 'Agriculture Simulation Methods'

Author: Grafiati

Published: 10 December 2022

Last updated: 19 July 2025

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1

Aasha, S., and R. Sugumar. "Sensor Malfunction Simulation and Data Imputation using Deep Learning in Precision Agriculture." Indian Journal Of Science And Technology 18, no. 25 (2025): 1985–97. https://doi.org/10.17485/ijst/v18i25.779.

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Objectives: This research initiative develops a new GAN-based technique for handling sensor malfunction-induced data gaps in precision agriculture data through robust precision improvement of machine learning applications. Methods: A GAN-based imputation method operates to recover missing data points from agricultural datasets. The analysis of multiple sensor parameters created missing data by using conditional probability rules. The GAN received training through a combination of authentic data and simulated information to make its value predictions and imputation capabilities. Findings: The G

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Volk, Tinea. "Effects of agricultural policy on the development of Slovenian agriculture during the transition and the process of accession to the European Union." Journal of Agricultural Sciences, Belgrade 50, no. 1 (2005): 75–88. http://dx.doi.org/10.2298/jas0501075v.

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The thesis analyzes the development of agricultural policy and agriculture in Slovenia in the period from 1992 to 2002. The analysis is based on the classification of agricultural policy and its measures, standard indicators used for analysis of development of agricultural policy and agriculture, and specific methods for evaluating the efficiency of agricultural policy (evaluation methods, simulation methods). The results show that the transition in Slovenia caused no marked shocks for agricultural production. The development goals for agriculture were set forth early (in 1992) and were modele

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Padhiary, Mrutyunjay, Pankaj Roy, and Kundan Kumar. "Simulation Software in the Design and AI-Driven Automation of All-Terrain Farm Vehicles and Implements for Precision Agriculture." Recent Progress in Science and Engineering 01, no. 02 (2025): 1–13. https://doi.org/10.21926/rpse.2502006.

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Precision agriculture depends on the automation and mechanization of agricultural equipment and vehicles in a variety of terrains, which increases productivity and sustainability. This review presents a comparative analysis of significant simulation software used in designing and developing automated agricultural systems, emphasizing their methodologies and significance in advancing farm technology. Artificial intelligence (AI) and machine learning (ML) methods are modeled, optimized, and integrated using key technologies such as MATLAB/Simulink, SolidWorks, ANSYS, AirSim, and Gazebo. The resu

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Shang, Yibo. "Research on Optimization of Crop Planting Strategies Based on Linear Programming and Monte Carlo Methods Abstract." Transactions on Environment, Energy and Earth Sciences 4 (December 12, 2024): 86–93. https://doi.org/10.62051/fyqb2856.

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With global population growth and climate change impacting agriculture, optimizing crop planting strategies is essential. This study aims to maximize net returns from limited land and climatic conditions using a linear programming model combined with Monte Carlo simulation. Two scenarios were considered: excess yield either wasted or sold at a reduced price. By simulating various planting strategies, the optimal scheme was identified. The results indicated that the highest total return of 9,323,486.21 was achieved in 2025, while the return in 2028 was lower at 8,695,777.98. This research provi

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Shehan, Amarasooriya, and Sandaruwan Damitha. "Mathematical and Machine Learning Based Methods for UAV Simulation: A Systematic Literature Review." International Journal of Engineering and Management Research 14, no. 2 (2024): 126–33. https://doi.org/10.5281/zenodo.11084485.

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Unmanned aerial vehicles (UAVs), frequently called drones, have become highly useful assets in various industries such as surveillance, transportation, and agriculture. Understanding and evaluating drone behavior is difficult because of the intricate interplay of factors such as velocity, altitude, remote controller input and flight path. Therefore, proficient, and knowledgeable workers are required for efficient drone operations. It is essential to have strong training programs for drone pilots to satisfy these expectations. The inclusion of drone simulators is a vital component of these trai

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Dong, Dam Xuan, Nguyen Thi Thu Huong, Nguyen Ngoc Bach, Nguyen Quang Ninh, Bui Thi Duyen, and Dam Xuan Dinh. "Application of the Digital Twin for Condition Monitoring and Energy Management of Electrical Loads in Greenhouses." Engineering, Technology & Applied Science Research 15, no. 3 (2025): 24005–12. https://doi.org/10.48084/etasr.10467.

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In recent years, the development and widespread implementation of energy-saving measures, combined with digital transformation, have increased significantly worldwide. Among digital technologies, Digital Twin (DT) technology is regarded as a potential solution in the agricultural sector. Real-time control of energy consumption and monitoring the operational status of electrical equipment in agricultural production on a digital platform help farmers optimize farming processes, paving the way for more efficient and sustainable farming methodologies. Additionally, DΤ technology, which creates vir

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Fibriansari, Rizeki Dwi, Anggia Astuti, and Dwi Ochta Pebriyanti. "IMPROVING MC-KENZIE EXERCISE CAPABILITIES THROUGH SIMULATION METHOD IN THE AGRICULTURE AREA." Jurnal Pengabdian Masyarakat Dalam Kesehatan 4, no. 2 (2022): 69–73. http://dx.doi.org/10.20473/jpmk.v4i2.38363.

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Introduction: Low back pain is one of the factors causing morbidity and mortality in agricultural areas, namely pain syndrome experienced by individuals caused by poor body position. This can injure soft tissue structures that include muscles and ligaments. Community service aims to improve farmers' knowledge and skills in the PTPN XII Gunung Gambir Jember Agricultural Area to prevent low back pain. Methods: Community service activities are carried out by providing education through simulations to farmers. The reason for choosing this method is that farmers prefer real experiences compar

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Yamashita, Ryohei. "Dialogue with Different Fields Surrounding Agriculture through the Development of Research using Simulation Methods." Journal of Rural Problems 56, no. 1 (2020): 11–16. http://dx.doi.org/10.7310/arfe.56.11.

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9

Bian, Wentao, Yanyi Liu, and Yin Wu. "A Bluetooth-Based Automated Agricultural Machinery Positioning System." Electronics 13, no. 24 (2024): 4902. https://doi.org/10.3390/electronics13244902.

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With the rapid advancement of technology, precision agriculture, as a modern agricultural production model, has seen significant progress in recent years. Its widespread adoption is gradually transforming traditional farming methods, providing strong support for the modernization of global agriculture. In particular, the application of positioning technology plays a crucial role in precision agriculture. This paper focuses on an automated agricultural machinery positioning system based on Bluetooth technology. The system uses Bluetooth at the 2.4 GHz frequency for transmission, processing Cons

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Kiani, Farzad, Amir Seyyedabbasi, Sajjad Nematzadeh, et al. "Adaptive Metaheuristic-Based Methods for Autonomous Robot Path Planning: Sustainable Agricultural Applications." Applied Sciences 12, no. 3 (2022): 943. http://dx.doi.org/10.3390/app12030943.

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The increasing need for food in recent years means that environmental protection and sustainable agriculture are necessary. For this, smart agricultural systems and autonomous robots have become widespread. One of the most significant and persistent problems related to robots is 3D path planning, which is an NP-hard problem, for mobile robots. In this paper, efficient methods are proposed by two metaheuristic algorithms (Incremental Gray Wolf Optimization (I-GWO) and Expanded Gray Wolf Optimization (Ex-GWO)). The proposed methods try to find collision-free optimal paths between two points for

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Khoruzhy, Lyudmila Ivanovna, Yury Nikolaevich Katkov, and Anastasiya Alekseevna Romanova. "Modern tools of deep analysis in the system of cost management in inter-organizational relations of agricultural formations." Buhuchet v sel'skom hozjajstve (Accounting in Agriculture), no. 6 (June 1, 2021): 6–15. http://dx.doi.org/10.33920/sel-11-2106-01.

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The article, based on the theoretical analysis and the study of accounting practices, presents the place and role of tools for deep cost analysis in the cost management system of inter-organizational interaction of partners. The features of agriculture that have a significant impact on the interorganizational cooperation of agricultural companies are revealed. The advantages of the introduction and use of modern methods of cost management, including simulation modeling in identifying deviations in business processes, are revealed.

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Klose, Steven L., and Joe L. Outlaw. "Financial and Risk Management Assistance: Decision Support for Agriculture." Journal of Agricultural and Applied Economics 37, no. 2 (2005): 415–23. http://dx.doi.org/10.1017/s107407080000688x.

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The Financial and Risk Management (FARM) Assistance program created by Texas Cooperative Extension is a strategic analysis service offered to farmers and ranchers in Texas. The program serves as an example of large-scale, focused programming by extension agencies, as well as the implementation of technical stochastic simulation methods for use on the farm.

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Radzajewski, Paweł. "Calculation of brake-force distribution on three-axle agricultural trailers using simulation methods." Technical Transactions 2021, no. 1 (2021): 1–18. http://dx.doi.org/10.37705/techtrans/e2021029.

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The paper presents a new methodology for calculating the optimal linear distribution of braking forces for a three-axle trailer with "walking beam" and "bogie" suspension of the rear axle assembly that will meet the requirements of the new European legislation, EU Directive 2015/68. On this basis, a computer program for selecting the linear distribution of braking forces between axles has been developed. The presented calculations and simulation results of the braking process can be used in the design process to select the parameters of the wheel braking mechanisms and then the characteristics

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Samygin, Denis Yu. "Development of methods for analyzing the effectiveness of subsidies used by agricultural enterprises." Izvestiâ Timirâzevskoj selʹskohozâjstvennoj akademii, no. 2 (2025): 181–96. https://doi.org/10.26897/0021-342x-2025-2-181-196.

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The relevance of the issue of how subsidy recipients use state support for the agro-industrial sector stemsfrom Russian budget legislation’s requirements for strategic planning. The aim is to justify the improvement of the methods and application of the results of analyzing the effectiveness of subsidies used by agricultural enterprises. It is shown that the simulation capabilities of modern analysis methods make it possible to assess the effect of subsidies on the performance, identify the extent to which financial goals are achieved through budgetary resources, and determine the effectivenes

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Saprudin, Saprudin, Perani Rosyani, Bagas Mahendra Putra, Al Haura, La Juanda, and Vivi Ainun. "Use of Expert System in Determining Water Management in Agriculture with Methods: Fuzzy Logic and Rule-Based Decision Making." Formosa Journal of Science and Technology 4, no. 1 (2025): 451–64. https://doi.org/10.55927/fjst.v4i1.13490.

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This project aims to develop an expert system to support agricultural water management using Fuzzy Logic and Rule-Based Decision Making methods. This system is important for improving agricultural yields and environmental sustainability, especially with the increasing demand for food and the impacts of climate change. Data was taken from Kaggle, including information on soil conditions, temperature, and rainfall. Data processing includes missing value removal, outlier detection, and splitting the data into 80% training and 20% testing. Fuzzy Logic was chosen because it is able to handle data u

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Huang, Boyan, Kai Song, Tao Zhang, et al. "Solving Power Supply Stability Issues in Remote Agricultural Areas Based on an Improved Sliding-Mode Active Disturbance Rejection Control Method." Agriculture 15, no. 7 (2025): 674. https://doi.org/10.3390/agriculture15070674.

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To address the stability of the power supply to agricultural facilities and greenhouses in remote areas, this paper proposes a solution based on the bus voltage fluctuation issue in an islanded photovoltaic-storage DC microgrid. Traditional power supply methods often struggle to meet demand due to significant fluctuations in solar irradiance and load. To resolve this, an improved sliding-mode linear active disturbance rejection control (ISMLADRC) strategy is designed, significantly enhancing the response speed of the microgrid control system while improving its adaptability in complex agricult

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17

Pandey, Prateek, Shishir Kumar, and Sandeep Srivastava. "A Critical Evaluation of Computational Methods of Forecasting Based on Fuzzy Time Series." International Journal of Decision Support System Technology 5, no. 1 (2013): 24–39. http://dx.doi.org/10.4018/jdsst.2013010102.

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The agricultural production is a process, which being nonlinear in nature, due to various influential parameters like weather, rainfall, diseases, disaster, area of cultivation etc., is not governed by any deterministic process. Fuzzy time series forecasting is one of the approaches for predicting the future values where neither a trend is viewed nor a pattern is followed, for example, in case of sugar, Lahi and rice production. Various forecasting methods have been developed on the basis of fuzzy time series data, but accuracy has been a mercurial factor in these forecasts. In this paper, per

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18

Li, Xiaomin, Lixue Zhu, Xuan Chu, and Han Fu. "Edge Computing-Enabled Wireless Sensor Networks for Multiple Data Collection Tasks in Smart Agriculture." Journal of Sensors 2020 (February 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/4398061.

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At present, precision agriculture and smart agriculture are the hot topics, which are based on the efficient data collection by using wireless sensor networks (WSNs). However, agricultural WSNs are still facing many challenges such as multitasks, data quality, and latency. In this paper, we propose an efficient solution for multiple data collection tasks exploiting edge computing-enabled wireless sensor networks in smart agriculture. First, a novel data collection framework is presented by merging WSN and edge computing. Second, the data collection process is modeled, including a plurality of

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19

Szőke, Szilvia, Lajos Nagy, Sándor Kovács, and Péter Balogh. "Examination of pig farm technology by computer simulation." Applied Studies in Agribusiness and Commerce 3, no. 5-6 (2009): 25–29. http://dx.doi.org/10.19041/apstract/2009/5-6/4.

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Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Mont

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Mohsenipour, Morteza, Hamid Asgari, Shamsuddin Shahid, Sahar Hadipuor, and Peiman Roushenas. "Two-dimensional Simulation of Nitrate Transport in an Agriculture-intensive Region." Asian Journal of Water, Environment and Pollution 12, no. 1 (2015): 45–52. http://dx.doi.org/10.3233/ajw-2015-12_1_07.

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A two-dimensional steady-state solute transport model is developed to simulate movement of non-point sources of pollution in anisotropic porous media. The migration of chemicals dissolved in groundwater is governed by advective-dispersive processes which are also affected by the velocity of the flowing groundwater. Therefore, groundwater flow equation is solved for hydraulic gradient and hydraulic conductivity to approximate the average linear velocity of the fluid. The advection-dispersion is used to approximate the spatial and temporal distribution of non-reactive dissolved chemical in a flo

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21

Krishnakumar, Dr S. "Analysis of Climate Change Management and its implications on Agriculture Tourism in India with reference to genetic diversity in banana." Journal of Development Economics and Management Research Studies 10, no. 17 (2023): 01–15. http://dx.doi.org/10.53422/jdms.2023.101701.

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The study deals with the productivity in banana to changes in climate and its associated factors. The production and the condition for growth of banana varieties and various produces are vital for growth and development of Agriculture tourism in India. On the other hand, management of climate change and its impacts, and conditions are analyzed using authentic secondary data. The management methods differ from various regions according to climatic condition. The banana cultivation in tropical region is ideal for more income to the farmers. An anecdote of South Africa is included to have a compr

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Krishnakumar, Dr S. "Analysis of Climate Change Management and its implications on Agriculture Tourism in India with reference to genetic diversity in banana." Journal of Development Economics and Management Research Studies 10, no. 17 (2023): 01–15. http://dx.doi.org/10.53422/jdms.2022.101701.

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The study deals with the productivity in banana to changes in climate and its associated factors. The production and the condition for growth of banana varieties and various produces are vital for growth and development of Agriculture tourism in India. On the other hand, management of climate change and its impacts, and conditions are analyzed using authentic secondary data. The management methods differ from various regions according to climatic condition. The banana cultivation in tropical region is ideal for more income to the farmers. An anecdote of South Africa is included to have a compr

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23

Berzsenyi, Z. "Crop production research in multifunctional agriculture." Acta Agronomica Hungarica 51, no. 1 (2003): 91–99. http://dx.doi.org/10.1556/aagr.51.2003.1.12.

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The research agenda for crop science in the 21st century will depend largely on whether the present conditions regarding the global food surplus continue, or whether a food scarcity recurs. Crop production research is based chiefly on small-plot field experiments, the majority of which are either long-term experiments or experiments set up to investigate the specific agronomic responses of Martonvásár maize hybrids and wheat varieties. The sustainability of crop production is examined in long-term experiments. The agronomic responses of maize hybrids and wheat varieties are studied at various

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Kittisuwan, Pichid. "Textural Region Denoising: Application in Agriculture." International Journal of Image and Graphics 18, no. 04 (2018): 1850024. http://dx.doi.org/10.1142/s0219467818500249.

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Geo-science and remote sensing technologies play enormous roles in agriculture nowadays, especially in analysis of data from aerial images such as satellite images and drone images. Most agricultural images contain more textural regions than non-textural regions. Therefore, data management in terms of textural regions is very important. Indeed, additive white Gaussian noise (AWGN) is the fundamental problem in digital image analysis. In wavelet transform, Bayesian estimation is useful in several noise reduction methods. The Bayesian technique requires a prior modeling of noise-free wavelet coe

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Ivens, Sven, Gerlinde Wiese, Klaus Dittert, Oliver Mußhoff, and Monika Oberle. "Bringing Policy Decisions to the People—Education for Sustainable Development through a Digital Simulation Game." Sustainability 12, no. 20 (2020): 8743. http://dx.doi.org/10.3390/su12208743.

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After repeated warnings by the European Commission regarding high nitrate concentrations in German waters, in 2017, Germany implemented a new fertilizer application ordinance (FO) with stricter nitrate value limits. The new regulations have severely affected agricultural regions in Germany and could lead to a high number of job losses if farmers must conform to the new regulations and do not implement new production methods. Therefore, a simulation game was developed to educate farmers and residents about the new FO and to facilitate adaptation to the new environmentally friendly legislation.

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Yao, FengMei, PengCheng Qin, JiaHua Zhang, ErDa Lin, and Vijendra Boken. "Uncertainties in assessing the effect of climate change on agriculture using model simulation and uncertainty processing methods." Chinese Science Bulletin 56, no. 8 (2011): 729–37. http://dx.doi.org/10.1007/s11434-011-4374-6.

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Zhou, Sishu, and Hong Chen. "Formation, Diffusion and Simulation of Green Production Socialized Service Network for Smallholder Farmers Based on SEIRS Model." Agriculture 13, no. 10 (2023): 1963. http://dx.doi.org/10.3390/agriculture13101963.

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(1) Background: The spread of agricultural green production technologies and systems among small farmers is affected by multiple factors such as subjectivity and objectivity. (2) Methods: Based on the marketability of agricultural green production socialization services (AGPSSs), this paper constructs a SEIRS model of infectious disease dynamics, taking the AGPSS of “MAP Sinochem Modern Agriculture” in Tianshan Town, Arhorchin Banner as an example. (3) Results: This study uses Python to simulate the process of forming a network of AGPSS for small farmers and analyzes the law of information dis

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Zheng, Yi, Yaoqun Xu, and Zeguo Qiu. "Blockchain Traceability Adoption in Agricultural Supply Chain Coordination: An Evolutionary Game Analysis." Agriculture 13, no. 1 (2023): 184. http://dx.doi.org/10.3390/agriculture13010184.

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Blockchain technology has brought about profound revolutions in supply chain management. Notably, in the agricultural sector, blockchain-based traceability has become an essential tool to maintain the safety and quality of farm commodities. However, the implementation of blockchain technology in agricultural traceability is not prevalent. In this paper, mathematical modeling and simulation methods were used to investigate the decision making regarding the adoption of blockchain traceability in agriculture, which comprises producers, processors, and governments. This paper provides further anal

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Dr. Amba Prasad. "Nanophotonic for Efficient Light Harvesting in Greenhouse Agriculture." Knowledgeable Research: A Multidisciplinary Journal 1, no. 11 (2023): 55–61. http://dx.doi.org/10.57067/g7wg5157.

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Nanophotonic has become of great interest as the next-generation strategy towards improving the capture of light efficiency in greenhouse agriculture. The spectral, angular, and polarization properties of sunlight can be tailored by nanophotonic structures through the precise manipulation of light at the nanoscale, hence improving the quality and quantity of light reaching the plants. It will make sure that the most useful wavelengths for photosynthesis reach the crops for healthy growth and maximum agricultural productivity. It is also expected that the utilization of nanophotonic materials,

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Chen, Tongde, Juying Jiao, Lingling Wang, Wei Wei, Chunjing Zhao, and Shuwei Wei. "Evaluation and Promotion of Alluvial Fan Land Suitability for Agriculture in the Lhasa River Basin, Qinghai–Tibet Plateau." Agriculture 14, no. 8 (2024): 1214. http://dx.doi.org/10.3390/agriculture14081214.

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Alluvial fans have been proven to have great utilisation potential in QTP, but to what extent they are suitable for agricultural development is unknown. Therefore, using the alluvial fan in the Lhasa River Basin (LRB) as a case study, this paper established an evaluation system of land suitability for agriculture (LSA). Principal component analysis (PCA) and the exhaustive method (EM) were used to define the minimum dataset (MDS) and then the LSA of the alluvial fan in the LRB was evaluated using a comprehensive index of LSA. Two scientific approaches were implemented to improve the LSA using

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Shadkam, Elham, and Elnaz Irannezhad. "A comprehensive review of simulation optimization methods in agricultural supply chains and transition towards an agent-based intelligent digital framework for agriculture 4.0." Engineering Applications of Artificial Intelligence 143 (March 2025): 109930. https://doi.org/10.1016/j.engappai.2024.109930.

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Kosnikova, Oksana V., Alexander L. Zolkin, Irina N. Zayceva, and Evgeniy A. Arnautov. "THE USE OF UNMANNED AERIAL VEHICLES IN AGRICULTURE AND THE PROSPECTS FOR THEIR IMPLEMENTATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/10, no. 157 (2025): 195–204. https://doi.org/10.36871/ek.up.p.r.2025.04.10.023.

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The article is devoted to the study of the use of unmanned aerial vehicles in agriculture and the assessment of the prospects for their implementation in the context of the digital transformation of the agricultural sector. The purpose of the work is to analyze the areas of use of UAVs, as well as to formulate recommendations for improving the effectiveness of their use, taking into account technological, organizational and weather factors. The research uses methods of analyzing scientific publications, empirical data, regulatory programs, and pilot implementations. Attention is paid to the an

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Boniecki, Piotr, Agnieszka Sujak, Gniewko Niedbała, Hanna Piekarska-Boniecka, Agnieszka Wawrzyniak, and Andrzej Przybylak. "Neural Modelling from the Perspective of Selected Statistical Methods on Examples of Agricultural Applications." Agriculture 13, no. 4 (2023): 762. http://dx.doi.org/10.3390/agriculture13040762.

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Modelling plays an important role in identifying and solving problems that arise in a number of scientific issues including agriculture. Research in the natural environment is often costly, labour demanding, and, in some cases, impossible to carry out. Hence, there is a need to create and use specific “substitutes” for originals, known in a broad sense as models. Owing to the dynamic development of computer techniques, simulation models, in the form of information technology (IT) systems that support cognitive processes (of various types), are acquiring significant importance. Models primarily

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Xu, Yuan-jun, Jia-ding Wang, Tian-feng Gu, and Jia-xu Kong. "Geological Hazards in Loess Induced by Agricultural Irrigation in Arid and Semiarid Regions of China." Advances in Civil Engineering 2020 (November 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/8859166.

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The development of agriculture in the arid and semiarid regions of China mainly depends on agricultural irrigation. Until 2016, water required for agricultural irrigation has accounted for more than 90% of the total water consumption. But traditionally extensive broad irrigation causes frequent loess geological hazards in irrigation area and it threatens security of local life and property. In this paper, we selected the Heifangtai irrigation district in Yongjing County, Gansu Province, where frequent instabilities occur, as the study area. We used laboratory tests and numerical simulation to

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Berus, Aleksandr, and Sergey Kosnikov. "The role of economic and structural factors in the development of agriculture: regional approach." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 5, no. 3 (2024): 66–72. https://doi.org/10.52957/2782-1927-2024-5-3-66-72.

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The article analyses the impact of various economic and structural factors on the development of agriculture in Russian regions based on statistical data and a variety of economic and mathematical methods. The research uses calculation of relative and average values, multivariate grouping, and regression analysis. The cluster analysis revealed two groups of regions in terms of gross value added. The first group includes regions with highly developed agriculture significantly exceeding the indicators of the second one. This is confirmed by the results of regression analysis. Investments in fixe

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Park, Hyun-Geoun, Sang-Ik Suh, Bum-Seok Lee, Hyo-Sub Lee, and Seo Jin Ki. "Performance Comparison of Basic Pesticide Residue Prediction Models in Domestic Agricultural Environments." Journal of Korean Society of Environmental Engineers 46, no. 12 (2024): 806–15. https://doi.org/10.4491/ksee.2024.46.12.806.

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Objectives : This study assessed the performance of two FOCUS simulation models, Step 1 and Step 2 models which were officially used for pesticide review process in the European Union, in domestic agricultural environments.Material and methods : A performance comparison was made between two models for three selected pesticides (i.e., bifenthrin, fenitrothion and iprodione) which were widely adopted in Korean agriculture. A combination of different crop interception and runoff scenarios was used in the simulation. During the simulation, two selected crops (i.e., citrus crop and pome and stone f

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Yu, Danyang, Jinzhong Yang, Liangsheng Shi, et al. "On the uncertainty of initial condition and initialization approaches in variably saturated flow modeling." Hydrology and Earth System Sciences 23, no. 7 (2019): 2897–914. http://dx.doi.org/10.5194/hess-23-2897-2019.

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Abstract. Soil water movement has direct effects on environment, agriculture and hydrology. Simulation of soil water movement requires accurate determination of model parameters as well as initial and boundary conditions. However, it is difficult to obtain the accurate initial soil moisture or matric potential profile at the beginning of simulation time, making it necessary to run the simulation model from the arbitrary initial condition until the uncertainty of the initial condition (UIC) diminishes, which is often known as “warming up”. In this paper, we compare two commonly used methods for

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Aghaloo, Kamaleddin, and Yie-Ru Chiu. "Identifying Optimal Sites for a Rainwater-Harvesting Agricultural Scheme in Iran Using the Best-Worst Method and Fuzzy Logic in a GIS-Based Decision Support System." Water 12, no. 7 (2020): 1913. http://dx.doi.org/10.3390/w12071913.

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Rainwater-harvesting (RWH) agriculture has been accepted as an effective approach to easing the overexploitation of groundwater and the associated socioeconomic impacts in arid and semiarid areas. However, the stability and reliability of the traditional methods for selecting optimal sites for RWH agriculture need to be further enhanced. Based on a case study in Tehran Province, Iran, this study proposed a new decision support system (DSS) that incorporates the Best-Worst Method (BWM) and Fuzzy logic into a geographic information system (GIS) environment. The probabilistic analysis of the rain

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Farmanov, Tulkin, Nilufar Yuldasheva, Imomnazar Tursunov, Ziyoda Madumarova, and Rahima Mirkurbanova. "Application of game theory simulation in the management of an agro-industrial enterprise." E3S Web of Conferences 420 (2023): 08011. http://dx.doi.org/10.1051/e3sconf/202342008011.

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In the context of climate change, the agro-industrial complex certainly belongs to the class of complex production and economic systems, and in practice experiments to improve the management of such systems are dangerous because they can lead to unexpected and irreversible changes. According to the proposed scenario, agriculture in Uzbekistan will be extremely dangerous, as agricultural production depends on a number of risks, such as geopolitical situation, water scarcity, soil, weather, climatic conditions, pesticides, seeds, price differences, flow of organisms and diseases. mentions severa

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Jagathesan, Dr T. "Application of Mathematical Models in Agriculture- A Review." JOURNAL OF DEVELOPMENT ECONOMICS AND MANAGEMENT RESEARCH STUDIES 05, no. 05 (2020): 66–82. http://dx.doi.org/10.53422/jdms.2020.5501.

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Application of mathematical models are for solving problems in agriculture for a scientific understanding, quantitative expression and to take strategic decisions. Mathematical models include mechanistic, empirical, deterministic, and stochastic approaches. It has dynamic models with differential equations, static models with algebraic for a specific set of conditions, deterministic models suggest solutions, stochastic model deals with defined by probability functions, mechanistic model deals with theory or hypothesis, and empirical models uses existing data to explain the relationship between

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Perederieva, S. A., and T. A. Kizlik. "The model of financial support for the sustainable development of agriculture." BIO Web of Conferences 66 (2023): 14001. http://dx.doi.org/10.1051/bioconf/20236614001.

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The article is devoted to the importance of implementing methodological approaches and methods of evaluating an economic system effectiveness in the field of finance to optimize operational decision-making based on modeling. Expert tools are considered, including: databases and knowledge, systems for modeling economic situations, intelligent decision-making systems. A simulation model has been built that covers the full range of relationships between blocks and indicators-factors that determine the essential characteristics of the economic development of the territory, which made it possible t

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Tian, Weizhong, Liyuan Pang, Chengliang Tian, and Wei Ning. "Change Point Analysis for Kumaraswamy Distribution." Mathematics 11, no. 3 (2023): 553. http://dx.doi.org/10.3390/math11030553.

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The Kumaraswamy distribution is a common type of bounded distribution, which is widely used in agriculture, hydrology, and other fields. In this paper, we use the methods of the likelihood ratio test, modified information criterion, and Schwarz information criterion to analyze the change point of the Kumaraswamy distribution. Simulation experiments give the performance of the three methods. The application section illustrates the feasibility of the proposed method by applying it to a real dataset.

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R Saravanan and V. Sathya. "Accurate Range Free Location based Partial Derivative and Stochastic Feedforward Neural Network Hyperbolic-based Agriculture Sensor Network Formation." Journal of Advanced Research in Applied Sciences and Engineering Technology 32, no. 2 (2023): 60–78. http://dx.doi.org/10.37934/araset.32.2.6078.

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Wireless sensor networks (WSN) authorize the control of different source environmental aspects and crop states as far as precision agriculture is concerned. Nevertheless, the complicated agricultural environment brings about the WSN topology to change often and hence link association likelihood is laborious to predict. Information pertaining to agriculture is an essential distress for localization-based service in the domain of WSNs. Smooth planning and control as the most typical range-free localization method localization performance is said to be good in even distributed networks. Neverthel

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Zhang, Guoqing, Jiandong Liu, Wei Luo, et al. "A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture." Sensors 24, no. 23 (2024): 7514. http://dx.doi.org/10.3390/s24237514.

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Unmanned aerial vehicles (UAVs) have made significant advances in autonomous sensing, particularly in the field of precision agriculture. Effective path planning is critical for autonomous navigation in large orchards to ensure that UAVs are able to recognize the optimal route between the start and end points. When UAVs perform tasks such as crop protection, monitoring, and data collection in orchard environments, they must be able to adapt to dynamic conditions. To address these challenges, this study proposes an enhanced Q-learning algorithm designed to optimize UAV path planning by combinin

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Alyahya, Saleh, Waseem Ullah Khan, Salman Ahmed, Safdar Nawaz Khan Marwat, and Shabana Habib. "Cyber Secure Framework for Smart Agriculture: Robust and Tamper-Resistant Authentication Scheme for IoT Devices." Electronics 11, no. 6 (2022): 963. http://dx.doi.org/10.3390/electronics11060963.

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Internet of Things (IoT) as refers to a network of devices that have the ability to connect, collect and exchange data with other devices over the Internet. IoT is a revolutionary technology that have tremendous applications in numerous fields of engineering and sciences such as logistics, healthcare, traffic, oil and gas industries and agriculture. In agriculture field, the farmer still used conventional agriculture methods resulting in low crop and fruit yields. The integration of IoT in conventional agriculture methods has led to significant developments in agriculture field. Different sens

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Madsen, Rasmus Bødker, Hyojin Kim, Anders Juhl Kallesøe, et al. "3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures." Hydrology and Earth System Sciences 25, no. 5 (2021): 2759–87. http://dx.doi.org/10.5194/hess-25-2759-2021.

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Abstract. Nitrate contamination of subsurface aquifers is an ongoing environmental challenge due to nitrogen (N) leaching from intensive N fertilization and management on agricultural fields. The distribution and fate of nitrate in aquifers are primarily governed by geological, hydrological and geochemical conditions of the subsurface. Therefore, we propose a novel approach to modeling both geology and redox architectures simultaneously in high-resolution 3D (25m×25m×2m) using multiple-point geostatistical (MPS) simulation. Data consist of (1) mainly resistivities of the subsurface mapped with

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Pan, Tong, Xiao Jing Li, Hao Peng Wang, and Kai Zhao. "Research on LAI Retrieving Applied for Virtual Reality Simulation of Vegetation." Applied Mechanics and Materials 263-266 (December 2012): 1473–77. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1473.

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It is the key process for developing usability of virtual reality simulation of vegetation taking into account soil, chemistry elements of water, temperature and humidity of land surface, and lighting. Retrieving the characteristics of vegetation from remote sensing data effectively and exactly, building the relationship between remote sensing data and interfaces of VR-vegetation models are important. The paper discusses dense vegetation model, nondense vegetation model, and two-stream approximation model applied for LAI retrieving, analyzes the efficiency of the methods; presents the process

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Prasad, Athira, Dhalin D., and Dipak S. Khatawkar. "Sampling, quantification and mathematical modeling in agricultural spray drift: A review." Environment Conservation Journal 25, no. 3 (2024): 881–96. http://dx.doi.org/10.36953/ecj.25462715.

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An effective spray of agrochemicals is inevitable for crop production for viable agriculture. Spraying inherently suffers from drift, which has always been one of the major concerns in agriculture, affecting the intent of agrochemical spraying and posing serious environmental hazards. Complete elimination of spray drift is impractical under field conditions but can be minimized using precision spraying techniques. Agricultural spray drift has several detrimental effects, such as environmental damage, polluting water bodies, human and animal health risks, chemical exposure, and economic losses,

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Kobayashi*, Kent D. "Enhancing Students' Learning of High Technology in Horticulture." HortScience 39, no. 4 (2004): 809C—809. http://dx.doi.org/10.21273/hortsci.39.4.809c.

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How do we enhance students' learning experience and help them be aware of current and emerging technology used in horticulture? An undergraduate course on “Computer Applications, High Technology, and Robotics in Agriculture” was developed to address these needs. Its objectives were to familiarize students with the ways computers, high technology, and robotics are used in agriculture and to teach students how to design, build, and run a robot. The diverse topics included computer models and simulation, biosensors and instrumentation, graphical tracking and computer scheduling, new methods in pl

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Nizam, Nurul Aimee Izzaty Mohd, Seng Kheau Chung, Hoe Tung Yew, and Aroland M’conie Jilui Kiring. "Hydroponic IoT-Based Control Using Adaptive Fuzzy, PID, and Consensus Control Methods for Nutrient Concentration Dosing." Journal of Physics: Conference Series 2928, no. 1 (2024): 012001. https://doi.org/10.1088/1742-6596/2928/1/012001.

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Abstract One of the seventeen Sustainable Development Goals (SDGs) is to provide zero hunger, achieve food security, enhance nutritional quality, and promote sustainable agriculture. To achieve these goals, food production has to be increased by adopting modern techniques in agriculture, such as hydroponic farming and the Internet of Things (IoT). Effective handling of nutrient concentrations, specifically electrical conductivity (EC) values, is crucial for optimizing plant health and yield. To reduce the challenge posed by high overshooting of nutrient concentration and also due to the diffus

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