Article
Soil Science
Elia Scudiero, Dennis L. Corwin, Paul T. Markley, Alireza Pourreza, Tait Rounsaville, Theodor Bughici, Todd H. Skaggs
Summary: The on-the-go soil apparent electrical conductivity (ECa) sensors and gamma-ray spectrometry are important tools for measuring and mapping soil properties in micro-irrigated orchards. A mobile platform and data post-processing algorithm were developed to improve the measurement and characterization of soil properties in micro-irrigated orchard systems.
SOIL & TILLAGE RESEARCH
(2024)
Article
Agronomy
Theodor Bughici, Todd H. Skaggs, Dennis L. Corwin, Elia Scudiero
Summary: In this study, a numerical modeling approach was used to evaluate the use of proximal ECa sensing in drip irrigated systems. The results showed that a reliable measurement distance from the drip-line was about 100 cm.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agronomy
Theodor Bughici, Todd H. Skaggs, Dennis L. Corwin, Elia Scudiero
Summary: Monitoring and mapping soil salinity is valuable for irrigation management and reclamation of salt-affected agricultural soils. Proximal measurements of apparent soil electrical conductivity can help characterize soil salinity distributions, but ECa is also influenced by water content and soil properties. The study evaluated protocols for using proximal ECa sensing in drip irrigated systems, focusing on identifying areas of high salinity in the rootzone.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Geochemistry & Geophysics
Weikang Wan, Heying Hou, Tianxiang Li, Binghui Wang, Pengming Jiang, Aizhao Zhou
Summary: This paper investigates the effects of particle size, relative density, current frequency, and saturation on the contact resistance between calcareous sand and electrodes with different electrode spacings. The results show that the contact resistance increases with larger particle size and relative density. It decreases with increasing current frequency, and the decreasing amplitude decreases with increasing saturation. The relationship between contact resistance, current frequency, and saturation is established. The influence of contact resistance should be considered when studying the resistivity of calcareous sand using the two-electrode method, especially for samples with low saturation.
Article
Chemistry, Physical
Gui-Cang He, Li-Na Shi, Yi-Lei Hua, Xiao-Li Zhu
Summary: This work investigates the electron-phonon, phonon-phonon, and phonon structure scattering mechanisms and their impact on the thermal and thermoelectric properties of a silver nanowire (AgNW). The study reveals that the electron-phonon scattering rate decreases with increasing temperature, while the phonon-phonon scattering rate increases and surpasses the electron-phonon scattering rate above the Debye temperature. The rate of phonon structure scattering remains constant. The thermal conductivity of the AgNW exhibits an opposite trend to the total phonon scattering rate with temperature. The thermoelectric properties of the AgNW are heavily influenced by the thermal conductivity, and the figure of merit (ZT) of the AgNW is found to be significantly higher than that of bulk silver at room temperature.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Physics, Applied
W. E. Richardson, E. R. Mucciolo, P. K. Schelling
Summary: A realistic tight-binding model was used to study the resistivity size effect on Ru thin films due to steps. The study found that even in the absence of surface steps, certain film orientations exhibit a significant size effect. Further elucidation of the resistivity size effect is needed to fully understand the observed results.
JOURNAL OF APPLIED PHYSICS
(2021)
Article
Geochemistry & Geophysics
Guoshu Huang, Xiangyun Hu, Jianchao Cai, Huolin Ma, Bin Chen, Chen Liao, Shihui Zhang, Wenlong Zhou
Summary: Accurate estimation of the earth's interior temperature is crucial for geothermal research. Using resistivity as a temperature-dependent proxy parameter can overcome the limitations of existing temperature estimation methods. The electromagnetic geothermometer based on the coefficient correction method of the optimal temperature (CCMOT) demonstrates high accuracy in predicting subsurface temperature in the Xiong'an New Area, making it of significant importance.
Article
Soil Science
Narges Kariminejad, Adel Sepehr, Jean Poesen, Ali Hassanli
Summary: This paper attempts to study the geometric features of soil piping in arid and semi-arid regions using aerial mapping systems, soil physical and chemical attributes, and near-surface geophysical survey tools. The results show that soil attributes control the occurrence of piping-related features, and the geophysical tools can determine the approximate size and structure of soil pipes.
Article
Engineering, Environmental
Greg A. Oldenborger
Summary: The study experimentally validated a near-linear relationship between electrical conductivity and temperature in NaCl solutions, providing a foundation for geophysical studies of permafrost terrain at subzero temperatures. By extending the temperature-conductivity compensation equation, accurate compensation for the temperature dependence of electrical conductivity can be achieved at -9 degrees C.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2021)
Article
Agronomy
D. L. Corwin, E. Scudiero, D. Zaccaria
Summary: Climate change is expected to increase drought frequency and intensity in water-scarce agricultural areas that rely on irrigation. This study conducted a field experiment to develop improved soil sampling guidelines for mapping salinity patterns under drip-irrigation systems. The revised guidelines provide more accurate calibration between soil electrical conductivity and salinity, expanding the application of ECa-directed soil sampling in orchards under drip irrigation.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Engineering, Electrical & Electronic
Dmitry Kuklin
Summary: The purpose of this study is to estimate and reduce errors that can occur when using apparent frequency-dependent soil properties for grounding potential rise calculations. The study proposes a measurement approach that considers the available instruments and verifies its effectiveness through measurements on inhomogeneous soils. The results also show that limiting the depth of investigation is more convenient than dipole size in avoiding high-frequency effects in soil property measurements, and that soil inhomogeneities can cause differences in apparent soil properties at higher frequencies.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2022)
Article
Environmental Sciences
Akram Aziz, Ronny Berndtsson, Tamer Attia, Yasser Hamed, Tarek Selim
Summary: Soil degradation and low productivity are major challenges in the newly reclaimed agricultural area in the Nile Delta region, Egypt, due to high clay and silt content. Traditional mole drainage system is used to reduce soil salinity. This study compared innovative geo-resistivity methods to assess the efficiency of mole drains and evaluate clay soil drainage conditions. The results showed that integrating the methods improved the assessment of sub-surface drainage in clay-rich soils.
Article
Geochemistry & Geophysics
Cheng Yu, Chaomo Zhang, Wenrui Shi, Menglei Li, Wei Yan
Summary: As a country with abundant shale gas resources, China has made progress in evaluating marine and continental shale. However, there is limited research on marine-continental transitional shale. In this study, we compared the differences between Longtan shale and marine shale using well logging data, and analyzed the low-resistivity genesis of marine-continental transitional shale. Our findings suggest that the low-resistivity properties of the Longtan shale are caused by high clay content, complex pore structure, development of pyrite, graphitization of organic matter, and the presence of high-rank coal seams. To improve saturation prediction, we developed a new process based on the density-neutron combined model, which showed good results in the Jiaoshiba area, providing a new approach for saturation evaluation of shale formations.
Article
Agronomy
Gonzalo Martinez, Ana M. Laguna, Juan Vicente Giraldez, Karl Vanderlinden
Summary: The study evaluated the relationship between soil moisture and electrical conductivity using electromagnetic induction sensors, contributing to improved understanding of spatio-temporal variability in soil moisture near olive trees. Results suggest the implementation of coupled static-mobile ECa monitoring systems and soil moisture estimation is feasible in olive orchards.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Agronomy
Hira Shaukat, Ken C. Flower, Matthias Leopold
Summary: This study translates apparent electrical conductivity data into soil moisture content using non-invasive electromagnetic induction techniques and calibrated through laboratory experiments. The method provides a robust and relatively fast way to estimate soil moisture status in fields, facilitating informed agricultural management decisions.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Horticulture
M. Penzel, M. Pflanz, R. Gebbers, M. Zude-Sasse
Summary: Flower thinning plays a crucial role in apple fruit production by affecting continuous yield and fruit quality. The study demonstrates that tree-individual mechanical flower thinning can effectively manage spatial heterogeneity in flower set, avoiding yield loss from over-thinning low and medium flower sets in trees.
EUROPEAN JOURNAL OF HORTICULTURAL SCIENCE
(2021)
Article
Chemistry, Analytical
Reem Zeitoun, Viacheslav Adamchuk, Jon Warland, Asim Biswas
Summary: This study found that polishing carbon screen-printed electrodes with office paper significantly improved the sensitivity, detection limit, and reproducibility of phosphate electrochemical testing, while also enabling the reuse of disposable sensors.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2021)
Article
Agriculture, Multidisciplinary
Sebastian Vogel, Eric Boenecke, Charlotte Kling, Eckart Kramer, Katrin Luck, Golo Philipp, Joerg Ruhlmann, Ingmar Schroeter, Robin Gebbers
Summary: A site-specific variable rate liming strategy utilizing proximal soil sensing module and advanced multivariate linear regression analysis improved the prediction accuracy of lime requirement. High adjusted R-2 values and low RMSE values were achieved for each field, with an improvement of 3 to 27% compared to univariate modeling. The importance of covariates varied among fields, with soil pH being the most important parameter for determining lime requirement in the studied soils.
PRECISION AGRICULTURE
(2022)
Article
Agricultural Engineering
Md Saifuzzaman, Viacheslav Adamchuk, Asim Biswas, Nicole Rabe
Summary: High-density soil sensor data and topographic variables were used to accurately predict chemical properties of soils at 12 field sites in Ontario. Laboratory analyses of six soil properties were conducted, with findings showing the significant impact of topographic and sensor variables on predicting soil properties.
BIOSYSTEMS ENGINEERING
(2021)
Article
Agronomy
Michael Horf, Sebastian Vogel, Harm Druecker, Robin Gebbers, Hans-Werner Olfs
Summary: Due to disparities in animal husbandry systems, nutrient concentrations in livestock manures and biogas digestates vary greatly. Traditional estimation methods and laboratory analysis are unreliable or costly. Spectrometric methods, particularly near-infrared spectrometry (NIRS), have emerged as fast and low-cost alternatives for predicting nutrient concentrations. This review summarizes recent research on using optical spectrometry to predict various parameters of liquid organic manures, including physicochemical parameters, main plant nutrients, and micronutrients. NIRS has shown promising results and is being implemented in commercial laboratories as well as for online applications in the field.
Article
Agricultural Engineering
Guilherme M. Sanches, Rafael Otto, Viacheslav Adamchuk, Paulo S. G. Magalhaes
Summary: The study demonstrates the use of soil apparent electrical conductivity (ECa) as a valuable tool for mapping soil attributes and characterizing soil spatial variability. The results show a significant correlation between ECa and selected soil properties, indicating its potential for managing soil fertility in multiple fields.
BIOSYSTEMS ENGINEERING
(2022)
Article
Chemistry, Analytical
Nandkishor M. Dhawale, Viacheslav I. Adamchuk, Shiv O. Prasher, Raphael A. Viscarra Rossel, Ashraf A. Ismail
Summary: Through the analysis of 282 soil samples from Canadian agricultural fields, it was found that the portable mid-IR spectrophotometer can predict sand content more accurately, while the readily available dual-type vis-NIR spectrophotometer is better at predicting clay content. However, the ability to predict SOC content was not particularly good for the dataset used in this study.
Article
Soil Science
Yakun Zhang, Daniel D. Saurette, Tahmid Huq Easher, Wenjun Ji, Viacheslav Adamchuk, Asim Biswas
Summary: This study compared common sampling designs for digital soil mapping (DSM) and analyzed the prediction accuracy and spatial distribution of different designs. The results showed that sampling designs with good spatial coverage or feature space coverage can provide high prediction accuracy in DSM.
Review
Green & Sustainable Science & Technology
Sanjib Kumar Behera, Viacheslav Adamchuk, Arvind Kumar Shukla, Punyavrat Suvimalendu Pandey, Pardeep Kumar, Vimal Shukla, Chitdeshwari Thiyagarajan, Hitendra Kumar Rai, Sandeep Hadole, Anil Kumar Sachan, Pooja Singh, Vivek Trivedi, Ashutosh Mishra, Nagender Pal Butail, Praveen Kumar, Rahul Prajapati, Kshitij Tiwari, Deepika Suri, Munish Sharma
Summary: Knowledge of spatial distribution patterns of soil attributes is crucial for precision agriculture, and proximal soil sensing offers a cost-effective and high-density data collection method for assessing the spatial variability of soil attributes.
Article
Agriculture, Multidisciplinary
Michael Horf, Eric Boenecke, Robin Gebbers, Charlotte Kling, Eckart Kramer, Joerg Ruehlmann, Ingmar Schroeter, Wolfgang Schwanghart, Sebastian Vogel
Summary: The study found that visible and near-infrared spectroscopy analysis is a time and cost-effective alternative method that can effectively predict soil base neutralizing capacity and corresponding lime requirement. By using various spectral preprocessing and multivariate regression methods, accurate models can be established to predict soil characteristics.
PRECISION AGRICULTURE
(2023)
Article
Chemistry, Analytical
Reem Zeitoun, Viacheslav Adamchuk, Asim Biswas
Summary: This study proposes a novel paper-based electrochemical soil phosphate sensor that offers a fast, portable, low-cost, and reliable method for extracting and detecting phosphate in soil.
Article
Soil Science
Allegra Johnston, Viacheslav Adamchuk, Athyna N. Cambouris, Jean Lafond, Isabelle Perron, Julie Lajeunesse, Marc Duchemin, Asim Biswas
Summary: This study examines the within-field variations in wild blueberries and explores the potential of site-specific management (SSM) of nutrients. The results show that soil attributes and apparent soil electrical conductivity (ECa) have moderate to strong spatial dependence. Combining proximal and multispectral data can predict within-field variations of yield-determining soil properties and offer scenarios for SSM.
Article
Chemistry, Analytical
Roberto M. M. Buelvas, Viacheslav I. I. Adamchuk, John H. Lan, Valerio Hoyos-Villegas, Arlene Whitmore, Martina V. V. Stromvik
Summary: This paper presents a phenotyping system that combines ultrasonic and multispectral sensing with other measurements to address the need for accessible high-throughput plant phenotyping in open fields. The system increases throughput by a factor of 50 compared to a manual setup, allowing for efficient mapping of crop status across a field. The system integration, versatility, and ergonomics are the significant contributions of this system.
Article
Soil Science
Nandkishor M. Dhawale, Viacheslav I. Adamchuk, Shiv O. Prasher, Raphael A. Viscarra Rossel
Summary: Measuring soil texture and soil organic matter is crucial for understanding their impact on crop nutrients and water availability. Diffuse reflectance spectroscopy is used for rapid soil measurements in situ, but requires specific calibration. The study aimed to improve data processing for reproducibility of soil reflectance spectral elements and assess precision and accuracy for predicting soil attributes.
Article
Robotics
Amanda A. Boatswain Jacques, Viacheslav I. Adamchuk, Jaesung Park, Guillaume Cloutier, James J. Clark, Connor Miller
Summary: Specialty crops require more resources and are sensitive to growth conditions compared to field crops, but they produce higher value products. Computer and machine vision technology has improved quality assessment and yield estimation for fruit crops, but methods for vegetable crops are still developing. This study introduced a machine vision-based yield monitor for vegetable crops, specifically for shallots, which showed promising results but also highlighted challenges such as occlusion and lighting conditions affecting performance. Further enhancements are planned for the system to benefit small vegetable crop producers with real-time harvest information.
FRONTIERS IN ROBOTICS AND AI
(2021)
