Article
Neurosciences
Molly Rea, Niall Holmes, Ryan M. Hill, Elena Boto, James Leggett, Lucy J. Edwards, David Woolger, Eliot Dawson, Vishal Shah, James Osborne, Richard Bowtell, Matthew J. Brookes
Summary: This study introduces the potential of optically-pumped magnetometers (OPMs) in magnetoencephalography (MEG) experiments and emphasizes the importance of controlling background magnetic fields. The authors propose a magnetic field mapping technique that accurately reconstructs field magnitude and compensates for it through an electromagnetic coil system, significantly reducing low-frequency interference. This technology can improve data quality in experiments, especially those measuring low-frequency oscillations or encouraging head movement.
Article
Automation & Control Systems
Jianzhong Qiao, Hao Wu, Xiang Yu
Summary: A high-precision attitude control scheme for space manipulator system is proposed in this article, utilizing a combination of disturbance observer, prescribed performance-based control, and iterative learning control techniques. The scheme can effectively deal with vibration and uncertainties, achieving satisfactory tracking performance. Simulation and experimental results confirm the superiority of the proposed control strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Jian Wu, Junda Zhang, Baochang Nie, Yahui Liu, Xiangkun He
Summary: This article proposes a new adaptive control method for the permanent magnet synchronous motor (PMSM) servo system in steering-by-wire (SBW) technology. The control strategy, which includes parameter adaptive laws and robust terms, compensates for parameter uncertainties and unknown external disturbances. Simulation and hardware-in-the-loop tests demonstrate that the designed control strategy achieves good tracking accuracy and stability on the SBW platform.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Automation & Control Systems
Boyi Wang, Yang Deng, Zhang Chen, Bin Liang
Summary: In this paper, a universal disturbance rejection scheme named equilibrium compensation based control is proposed, which can attenuate mismatched disturbances and sensor errors while retaining the nominal controller's performance. Simulation and experiment results demonstrate the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
William Rohde, Fulvio Forni
Summary: This paper proposes a new mechanistic open model of lettuce growth for precision agriculture control and demonstrates its cooperation and fit with experimental data. The researchers use simulations to show that a simple proportional distributed control method can increase crop uniformity and yield without increasing nitrogen use.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Agriculture, Dairy & Animal Science
L. A. Melville, A. Hayward, E. R. Morgan, D. J. Shaw, D. McBean, L. Andrews, A. Morrison, F. Kenyon
Summary: The sentinel group approach, involving monitoring a small proportion of grazing lambs to determine the need for anthelmintic treatment for the whole group, was found to be effective in maintaining animal productivity and reducing monitoring requirements compared to individual-targeted treatments.
Article
Green & Sustainable Science & Technology
Francisco Medel-Jimenez, Gerhard Piringer, Andreas Gronauer, Norbert Barta, Reinhard W. Neugschwandtner, Theresa Krexner, Iris Kral
Summary: This study presents a comparative life cycle assessment of using optical crop sensors for variable rate nitrogen application (VRNA) in a winter wheat production system. The study evaluates the environmental impacts of the fertilization process and compares soil emissions simulated by a soil model with a benchmark wheat production process. The results show that using optical crop sensors for VRNA can have a positive environmental impact, and highlights the importance of using site-specific soil models to estimate field emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Agriculture, Dairy & Animal Science
Antonio Monteiro, Sergio Santos, Pedro Goncalves
Summary: Precision agriculture, utilizing advanced technologies and sensors in crop and livestock management, has the potential to improve resource efficiency and enhance the quality of agricultural production.
Article
Thermodynamics
He Dong, Xiaoping Li, Xin He, Zhibo Zeng, Guojun Wen
Summary: This paper proposes a two-degree-of-freedom (2DOF) controller to overcome the difficulties of large inertia and time delay in lithography equipment. Model predictive control (MPC), loop shaping, and Kalman filter are used to optimize the system and effectively avoid oscillation and load disturbance, thus increasing the system precision.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Chemistry, Analytical
Alaa Sagheer, Maged Mohammed, Khaled Riad, Mohammed Alhajhoj
Summary: This research established a multi-tier cloud-based Internet of Things (IoT) platform to enhance greenhouse microclimate for cucumber cultivation. The platform connected all sensors, controllers, and actuators in the greenhouse for long-distance communication, leading to increased cucumber yield and enhanced quality, as well as improved water use efficiency and decreased energy consumption. The platform seems suitable for soilless greenhouse cultivation in arid regions based on its positive impact on water use efficiency and yield and quality enhancement of cucumbers.
Article
Automation & Control Systems
Junxiao Wang, Qinkun Lu, Qinchen Jiang, Jun Yang
Summary: This paper presents a generalized multiple disturbances estimation and compensation based position precision control of maglev systems, especially for the estimation and compensation of the unknown periodic disturbance. The internal model of periodic signals is embedded into the design of the generalized disturbance estimator (GDE) and the outer-loop controller, respectively, in order to accurately track the periodic reference and estimate the periodic disturbance. The proposed method ensures good estimation accuracy of the periodic disturbance and eliminates the influence of mismatched disturbances on the output through the introduction of disturbance estimate and its derivatives into the control law and the design of disturbance compensation gain.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Review
Agriculture, Dairy & Animal Science
M. Odintsov Vaintrub, H. Levit, M. Chincarini, I Fusaro, M. Giammarco, G. Vignola
Summary: Precision livestock farming (PLF) technologies are increasingly common in modern agriculture, particularly in concentrated farming operations and pasture-based systems. The Mediterranean extensive sheep farming sector is particularly interested in developing technologies for grazing animals. While developed countries have highly specialized production systems, extensive systems are still practiced due to lower input costs and market resilience. Adoption of new technologies in extensive farming may face financial barriers, but future trends such as global sheep milk economics and European agricultural policies may promote wider adoption of PLF systems in the near future.
Review
Agriculture, Dairy & Animal Science
Bing Jiang, Wenjie Tang, Lihang Cui, Xiaoshang Deng
Summary: There has been a significant increase in research on precision livestock farming in recent years. This paper provides a comprehensive review of the current state of research on precision livestock farming by creating knowledge maps using the visualization tool CiteSpace. The study objectively reveals the dynamics, development process, and trends in precision livestock farming research, while identifying frontiers and hotspots in the field.
Article
Biotechnology & Applied Microbiology
P. A. J. van Oort, N. Rukminasari, G. Latama, A. Verhagen, A. K. van der Werf
Summary: The Bio Economic Seaweed Model (BESeM) is a model designed for simulating tropical seaweed cultivation with multiple harvests per year, clonal reproduction and labor intensive activities. It can estimate biomass growth and harvested chemical concentration, and is applicable to different locations and species.
JOURNAL OF APPLIED PHYCOLOGY
(2022)
Article
Environmental Sciences
Qingzhi Zhao, Tingting Sun, Tengxu Zhang, Lin He, Zhiyi Zhang, Ziyu Shen, Si Xiong
Summary: A high-precision PET (HPET) model is proposed to calculate potential evapotranspiration (PET) by introducing precipitable water vapor (PWV) from Global Navigation Satellite System (GNSS) observations, which achieves high accuracy with fewer meteorological parameters. The experimental results on the Loess Plateau (LP) show that the HPET model outperforms the existing TH and RTH models, with significantly higher improvement rates over the entire study area. This demonstrates the superiority of the HPET model in estimating PET and standardized precipitation evapotranspiration index (SPEI) compared to current models.
Article
Agriculture, Multidisciplinary
Nedup Dorji, Marjolein Derks, Peter W. G. Groot Koerkamp, Eddie A. M. Bokkers
Summary: The Bhutanese government initiated a highland development programme in 2016 to promote yak farming due to declining numbers of yak farming families. Stakeholders identified challenges and opportunities in sustaining yak farming, with diverging views on threats and the need for multi-stakeholder dialogue to discuss solutions together.
INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY
(2022)
Article
Agricultural Engineering
Wouter J. P. J. Kuijpers, Duarte Antunes, Simon van Mourik, Eldert J. van Henten, Marinus J. G. van de Molengraft
Summary: This research investigates the impact of weather forecast errors on the performance of controlled greenhouse systems. Findings show that while forecast errors do have some effect on system performance, the impact is not significant. The study suggests that by using an optimal control algorithm and similar forecast errors, the influence of weather forecast errors on greenhouse system performance can be mitigated.
BIOSYSTEMS ENGINEERING
(2022)
Article
Agriculture, Dairy & Animal Science
M. Zhou, A. J. A. Aarnink, T. T. T. Huynh, I. D. E. van Dixhoorn, P. W. G. Groot Koerkamp
Summary: This study examined the effects of increasing ambient temperature on the physiological and productive responses of dairy cows at different relative humidity and air velocity levels. The results showed that relative humidity and air velocity significantly affected the respiratory rate, rectal temperature, skin temperature, and milk production of the cows.
JOURNAL OF DAIRY SCIENCE
(2022)
Review
Agriculture, Multidisciplinary
David Katzin, Eldert J. van Henten, Simon van Mourik
Summary: This study provides an overview of the current state of greenhouse modelling, identifying the key processes and common approaches used in process-based greenhouse models. The analysis reveals the variation and overlap in model design and complexity. The study suggests that increased transparency, code availability, shared datasets, and evaluation benchmarks will enhance model reuse, extension, evaluation, and comparison.
AGRICULTURAL SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Pieter M. Blok, Gert Kootstra, Hakim Elchaoui Elghor, Boubacar Diallo, Frits K. van Evert, Eldert J. van Henten
Summary: The study aimed to train a CNN with fewer annotated images while maintaining its performance. An active learning method called MaskAL was developed to automatically select hard-to-classify images for annotation and retraining. The results showed that MaskAL outperformed random sampling on a broccoli dataset with visually similar classes.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Plant Sciences
Frans P. Boogaard, Eldert J. van Henten, Gert Kootstra
Summary: This paper presents a method for obtaining phenotypic datasets of traits related to plant architecture using 3D point cloud data. The authors address the issue of class imbalance in point cloud segmentation and propose a class-dependent sampling strategy to improve segmentation performance. The experiments show that using a class-dependent training set can increase segmentation quality, and different classes have different optimal neighbourhood sizes.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
M. Zhou, T. T. T. Huynh, P. W. G. Groot Koerkamp, I. D. E. van Dixhoorn, T. Amon, A. J. A. Aarnink
Summary: The purpose of this study was to investigate the effects of increasing ambient temperature on heat loss from the skin surface and respiratory system of dairy cows at different relative humidity and air velocity levels. The results showed that skin heat loss decreased with increasing ambient temperature, while skin latent heat loss increased. Relative humidity and air velocity had no significant effect on heat loss. Under long exposure conditions, cows lost more heat compared to short exposure conditions.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Chemistry, Analytical
Khan Wali, Haris Ahmad Khan, Mark Farrell, Eldert J. Van Henten, Erik Meers
Summary: This study investigates the potential of using near-infrared (NIR) and mid-infrared (MIR) techniques to characterize different properties of bio-based fertilizers. The results show that combining the model outcomes of NIR and MIR can improve the prediction performance, especially for heavy metals and elements.
Article
Agricultural Engineering
Carsten C. A. Schep, Hendrik Jan H. J. C. van Dooren, Peter P. W. G. Groot Koerkamp, Nico N. W. M. Ogink
Summary: This study investigated the effect of closing off the slurry pit on NH3 emissions and developed a method to quantify the air flow rate in the pit. The results showed that the pit ventilation rate was temperature dependent and exhibited a clear day-night pattern during the night.
BIOSYSTEMS ENGINEERING
(2022)
Article
Agricultural Engineering
Henry J. Payne, Silke Hemming, Bram A. P. van Rens, Eldert J. van Henten, Simon van Mourik
Summary: The high energy demand in the Dutch greenhouse horticultural sector can be exacerbated by weather forecast errors. This study investigates the impact of weather forecast errors on energy prediction and trading uncertainty in greenhouse horticulture. The findings show that errors in temperature, wind speed, and radiation forecast contribute to overestimation of energy demand in greenhouses.
BIOSYSTEMS ENGINEERING
(2022)
Article
Agriculture, Dairy & Animal Science
M. Zhou, P. W. G. Groot Koerkamp, T. T. T. Huynh, A. J. A. Aarnink
Summary: The effects of ambient temperature, relative humidity, and air velocity on total evaporative water loss from dairy cows were studied. The results showed that relative humidity and air velocity had no significant effect, while their interaction with ambient temperature was significant. Cows at high relative humidity had a lower increasing rate of evaporative water loss compared to cows at low relative humidity. Cows at medium and high air velocity levels had a greater increasing rate. This study implies that cows mainly rely on evaporative cooling from the skin in high temperature conditions.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agronomy
F. D. Mondaca-Duarte, D. Reyes-Lastiri, M. Heinen, E. J. van Henten, S. van Mourik
Summary: There is a need for precise irrigation strategies to reduce leaching and water use while avoiding drought exposure. A model-based prediction and visualization method is proposed to estimate the precise required irrigation dosage and frequency to achieve desired leaching fraction and drought exposure. The method produces a contour plot to visualize the estimated leaching and drought exposure under uncertain evapotranspiration. The results demonstrate the usefulness of this visualization in decision support and suggest potential improvements in irrigation strategies.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Agricultural Engineering
David Katzin, Leo F. M. Marcelis, Eldert J. van Henten, Simon van Mourik
Summary: This study presents a novel concept for greenhouses, where both lighting and heating are derived exclusively from lamps. Such greenhouses can be highly efficient, as light is used both for crop growth and for heating. By using model simulations, it was found that these greenhouses could achieve higher yields and energy consumption compared to traditional greenhouses.
BIOSYSTEMS ENGINEERING
(2023)
Article
Agricultural Engineering
David Rapado-Rincon, Eldert J. van Henten, Gert Kootstra
Summary: The ability to accurately represent and localise relevant objects is essential for robots to carry out effective tasks. This paper introduces a novel approach for building generic representations in occluded agro-food environments using multi-view perception and 3D multi-object tracking.
BIOSYSTEMS ENGINEERING
(2023)
Article
Agricultural Engineering
David Rapado-Rincon, Eldert J. van Henten, Gert Kootstra
Summary: This paper presents a novel method, MinkSORT, to improve the accuracy of world models in agro-food environments. By using a 3D sparse convolutional network to generate tracking features, robots can perform tasks in the agro-food industry with greater efficiency and accuracy. The proposed method was evaluated using real-world data collected in a tomato greenhouse, and it significantly improved the performance of the baseline model.
BIOSYSTEMS ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
