Signals in the Soil: Subsurface Sensing
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[2] G. Taylor,et al. Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization , 2002 .
[3] D. J. Brus,et al. Sampling for Natural Resource Monitoring , 2006 .
[4] C. Reece. Evaluation of a Line Heat Dissipation Sensor for Measuring Soil Matric Potential , 1996 .
[5] Qiang Cao,et al. Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice , 2014 .
[6] N. Breda. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. , 2003, Journal of experimental botany.
[7] F. Baret,et al. Green area index from an unmanned aerial system over wheat and rapeseed crops , 2014 .
[8] Reza Ehsani,et al. A Laser Scanner Based Measurement System for Quantification of Citrus Tree Geometric Characteristics , 2009 .
[9] WhiteheadKen,et al. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges1 , 2014 .
[10] Viacheslav I. Adamchuk,et al. Review: Sensor systems for measuring soil compaction: Review and analysis , 2008 .
[11] P. Ruelle,et al. Comparison of three calibration procedures for TDR soil moisture sensors , 2003 .
[12] Mehmet C. Vuran,et al. Time-domain and Frequency-domain Reflectometry Type Soil Moisture Sensor Performance and Soil Temperature Effects in Fine- and Coarse-textured Soils , 2019, Applied Engineering in Agriculture.
[13] Volkan Isler,et al. Large Scale Image Mosaic Construction for Agricultural Applications , 2016, IEEE Robotics and Automation Letters.
[14] Yukio Kosugi,et al. Characterization of Rice Paddies by a UAV-Mounted Miniature Hyperspectral Sensor System , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[15] Yubin Lan,et al. An Airborne Multispectral Imaging System Based on Two Consumer-Grade Cameras for Agricultural Remote Sensing , 2014, Remote. Sens..
[16] Jeffrey W. White,et al. Active Optical Sensors in Irrigated Durum Wheat: Nitrogen and Water Effects , 2017 .
[17] Abdul Salam. Internet of Things for Sustainable Forestry , 2019 .
[18] Stefano Giorgi,et al. Development of a Rapid Soil Water Content Detection Technique Using Active Infrared Thermal Methods for In-Field Applications , 2011, Sensors.
[19] John P. Fulton,et al. An overview of current and potential applications of thermal remote sensing in precision agriculture , 2017, Comput. Electron. Agric..
[20] E. Small,et al. An algorithm for soil moisture estimation using GPS-interferometric reflectometry for bare and vegetated soil , 2016, GPS Solutions.
[21] James H. Everitt,et al. Airborne videography : current status and future perspectives , 1992 .
[22] P. Zarco-Tejada,et al. Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle , 2014, Precision Agriculture.
[23] Mehmet C. Vuran,et al. A Theoretical Model of Underground Dipole Antennas for Communications in Internet of Underground Things , 2019, IEEE Transactions on Antennas and Propagation.
[24] James S. Schepers,et al. Derivation of a Variable Rate Nitrogen Application Model for In‐Season Fertilization of Corn , 2010 .
[25] James H. Everitt,et al. A three-camera multispectral digital video imaging system , 1995 .
[26] Martin Weis,et al. Improving the determination of plant characteristics by fusion of four different sensors , 2013 .
[27] Y. Kerr,et al. State of the Art in Large-Scale Soil Moisture Monitoring , 2013 .
[28] Lav R. Khot,et al. Efficacy of unmanned helicopter in rainwater removal from cherry canopies , 2016, Comput. Electron. Agric..
[29] S. Jones,et al. Ground, Proximal, and Satellite Remote Sensing of Soil Moisture , 2019, Reviews of Geophysics.
[30] Ian F. Akyildiz,et al. Novel MI-based (FracBot) sensor hardware design for monitoring hydraulic fractures and oil reservoirs , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).
[31] Nicolas Tremblay,et al. Strategies to Make Use of Plant Sensors-Based Diagnostic Information for Nitrogen Recommendations , 2009 .
[32] F. J. Ponzoni,et al. Sun and view angle effects on NDVI determination of land cover types in the Brazilian Amazon region with hyperspectral data , 2004 .
[33] Dante Fratta,et al. A Survey of Elastic and Electromagnetic Properties of Near-Surface Soils , 2009 .
[34] Comparison of Twelve Dielectric Moisture Probes for Soil Water Measurement under Saline Conditions , 2008 .
[35] Jean L. Steiner,et al. PRECISION OF NEUTRON SCATTERING AND CAPACITANCE TYPE SOIL WATER CONTENT GAUGES FROM FIELD CALIBRATION , 1995 .
[36] R A Diaz-Varela,et al. Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle. , 2014, Journal of environmental management.
[37] G. Richard,et al. Electrical resistivity survey in soil science: a review . , 2005 .
[38] Mehmet C. Vuran,et al. Internet of underground things: Sensing and communications on the field for precision agriculture , 2018, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).
[39] Jiancheng Shi,et al. The Soil Moisture Active Passive (SMAP) Mission , 2010, Proceedings of the IEEE.
[40] Seishi Ninomiya,et al. Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV. , 2016, Functional plant biology : FPB.
[41] Martin J. Wooster,et al. High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing , 2016, Remote. Sens..
[42] Bisun Datt,et al. A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests using Eucalyptus Leaves , 1999 .
[43] K. Sudduth,et al. Soil macronutrient sensing for precision agriculture. , 2009, Journal of environmental monitoring : JEM.
[44] Michael Pflanz,et al. Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery , 2016, Remote. Sens..
[45] Chenghai Yang,et al. A high-resolution airborne four-camera imaging system for agricultural remote sensing , 2012 .
[46] S. R. Evett,et al. Advances in Soil Water Content Sensing: The Continuing Maturation of Technology and Theory , 2005 .
[47] M. S. Moran,et al. Opportunities and limitations for image-based remote sensing in precision crop management , 1997 .
[48] Nicolas Tremblay,et al. A comparison of crop data measured by two commercial sensors for variable-rate nitrogen application , 2009, Precision Agriculture.
[49] E. Fereres,et al. Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard , 2013, Precision Agriculture.
[50] H. Ramon,et al. Foliar Disease Detection in the Field Using Optical Sensor Fusion , 2004 .
[51] J. Markwell,et al. Calibration of the Minolta SPAD-502 leaf chlorophyll meter , 2004, Photosynthesis Research.
[52] Abdul Salam,et al. Impacts of Soil Type and Moisture on the Capacity of Multi-Carrier Modulation in Internet of Underground Things , 2016, 2016 25th International Conference on Computer Communication and Networks (ICCCN).
[53] Azmi Yahya,et al. A Tractor-mounted, Automated Soil Penetrometer–shearometer Unit for Mapping Soil Mechanical Properties , 2005 .
[54] Jorge Delgado,et al. Analysis of Landslide Evolution Affecting Olive Groves Using UAV and Photogrammetric Techniques , 2016, Remote. Sens..
[55] J. Kovacs,et al. Applications of Low Altitude Remote Sensing in Agriculture upon Farmers' Requests– A Case Study in Northeastern Ontario, Canada , 2014, PloS one.
[56] Abdul Salam,et al. Internet of Things for Sustainable Community Development: Introduction and Overview , 2019, Internet of Things.
[57] David Beamish,et al. Fundamentals of the capacitive resistivity technique , 2006 .
[58] Mehmet C. Vuran,et al. Vehicle-to-barrier communication during real-world vehicle crash tests , 2018, Comput. Commun..
[59] D. S. Chanasyk,et al. Field measurement of soil moisture using neutron probes , 1996 .
[60] G. Campbell,et al. Probe for Measuring Soil Specific Heat Using A Heat-Pulse Method , 1991 .
[61] Abdul Salam,et al. An Underground Radio Wave Propagation Prediction Model for Digital Agriculture , 2019, Inf..
[62] P. C. Robert,et al. Using an automated penetrometer and soil EC probe to characterize the rooting zone. , 2000 .
[63] William R DeTar,et al. Detection of Soil Properties with Airborne Hyperspectral Measurements of Bare Fields , 2008 .
[64] Chenghai Yang,et al. Airborne Hyperspectral Imagery and Yield Monitor Data for Mapping Cotton Yield Variability , 2004, Precision Agriculture.
[65] Li He,et al. Improved remote sensing detection of wheat powdery mildew using dual-green vegetation indices , 2016, Precision Agriculture.
[66] Francisca López-Granados,et al. Weed detection for site-specific weed management: mapping and real-time approaches , 2011 .
[67] Kenneth A. Sudduth,et al. Comparison of electromagnetic induction and direct sensing of soil electrical conductivity , 2003 .
[68] Antonio Barrientos,et al. Mini-UAV Based Sensory System for Measuring Environmental Variables in Greenhouses , 2015, Sensors.
[69] Reza Ehsani,et al. Detection of Huanglongbing Disease in Citrus Using Fluorescence Spectroscopy , 2012 .
[70] Craig S. T. Daughtry,et al. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring , 2010, Remote. Sens..
[71] David W. Lamb,et al. Radiometry of Proximal Active Optical Sensors (AOS) for Agricultural Sensing , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[72] Ying Gao,et al. The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[73] Neil McKenzie,et al. Proximal Soil Sensing: An Effective Approach for Soil Measurements in Space and Time , 2011 .
[74] Andreas Burkart,et al. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance , 2015 .
[75] Abdul Salam. Design of Subsurface Phased Array Antennas for Digital Agriculture Applications , 2019, 2019 IEEE International Symposium on Phased Array System & Technology (PAST).
[76] Mingquan Wu,et al. Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping , 2017, Remote. Sens..
[77] D. King. Airborne Multispectral Digital Camera and Video Sensors: A Critical Review of System Designs and Applications , 1995 .
[78] P. Zarco-Tejada,et al. Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera , 2012 .
[79] J. Ruehlmann,et al. Resistivity mapping with GEOPHILUS ELECTRICUS — Information about lateral and vertical soil heterogeneity , 2013 .
[80] M. A. Moreno,et al. Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing , 2014, Precision Agriculture.
[81] Robert S. Freeland,et al. Media framing the reception of unmanned aerial vehicles in the United States of America , 2016 .
[82] Mark W. Smith,et al. Structure from motion photogrammetry in physical geography , 2016 .
[83] A. Thomsen,et al. Mobile TDR for geo-referenced measurement of soil water content and electrical conductivity , 2007, Precision Agriculture.
[84] Dan S. Long,et al. On-combine, multi-sensor data collection for post-harvest assessment of environmental stress in wheat , 2015, Precision Agriculture.
[85] Sylvie M. Brouder,et al. Chlorophyll meter readings can predict nitrogen need and yield response of corn in the north-central USA , 2006 .
[86] Nithya Rajan,et al. Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research , 2016, PloS one.
[87] S. Labbé,et al. Getting simultaneous red and near-infrared band data from a single digital camera for plant monitoring applications: theoretical and practical study , 2014 .
[88] Mehmet C. Vuran,et al. EM-Based Wireless Underground Sensor Networks , 2018 .
[89] Stefano Amaducci,et al. Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery , 2014, Remote. Sens..
[90] Abdul Salam. Internet of Things in Agricultural Innovation and Security , 2019, Internet of Things.
[91] Mariette Vreugdenhil,et al. Using Cosmic-Ray Neutron Probes to Monitor Landscape Scale Soil Water Content in Mixed Land Use Agricultural Systems , 2016 .
[92] A. Thomsen,et al. Algorithms for sensor-based redistribution of nitrogen fertilizer in winter wheat , 2006, Precision Agriculture.
[93] Johanna Link,et al. Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System , 2014, Remote. Sens..
[94] Jan Vanderborght,et al. On the spatio-temporal dynamics of soil moisture at the field scale , 2014 .
[95] F. López-Granados,et al. Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images , 2013, PloS one.
[96] Wulf Amelung,et al. Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines , 2017 .
[97] Abdul Salam. Internet of Things for Sustainability: Perspectives in Privacy, Cybersecurity, and Future Trends , 2020 .
[98] Pedro Antonio Gutiérrez,et al. A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method , 2015, Appl. Soft Comput..
[99] J. Dash,et al. The MERIS terrestrial chlorophyll index , 2004 .
[100] Mehmet C. Vuran,et al. Di-Sense: In situ real-time permittivity estimation and soil moisture sensing using wireless underground communications , 2019, Comput. Networks.
[101] J. S. Schepers,et al. Use of a Chlorophyll Meter to Monitor Nitrogen Status and Schedule Fertigation for Corn , 1995 .
[102] Abdul Salam,et al. Internet of Things in Water Management and Treatment , 2019 .
[103] Christos Argyropoulos,et al. Soft Microreactors for the Deposition of Conductive Metallic Traces on Planar, Embossed, and Curved Surfaces , 2018, Advanced Functional Materials.
[104] Jorge Torres-Sánchez,et al. High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology , 2015, PloS one.
[105] Abdul Salam,et al. Underground Environment Aware MIMO Design Using Transmit and Receive Beamforming in Internet of Underground Things , 2019, ICIOT.
[106] J. Flexas,et al. UAVs challenge to assess water stress for sustainable agriculture , 2015 .
[107] Michel Dabas,et al. Comparison of instruments for geoelectrical soil mapping at the field scale , 2009 .
[108] F. Egmond,et al. Gamma Ray Sensor for Topsoil Mapping: The Mole , 2010 .
[109] Abdul Salam,et al. Wireless Underground Communications in Sewer and Stormwater Overflow Monitoring: Radio Waves through Soil and Asphalt Medium , 2020, Inf..
[110] A. Giebel,et al. Evaluation of the soil penetration resistance along a transect to determine the loosening depth , 2006, Precision Agriculture.
[111] Chenghai Yang,et al. Low-cost single-camera imaging system for aerial applicators , 2015 .
[112] A. Salam,et al. Internet of Things for Environmental Sustainability and Climate Change , 2019 .
[113] Andrew E. Suyker,et al. An alternative method using digital cameras for continuous monitoring of crop status , 2012 .
[114] D. Siqueira,et al. MAGNETIC SUSCEPTIBILITY AS INDICATOR OF SOIL QUALITY IN SUGARCANE FIELDS , 2017 .
[115] Matthew Bardeen,et al. Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging , 2016, Remote. Sens..
[116] Pablo J. Zarco-Tejada,et al. Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods , 2014 .
[117] Alphus D. Wilson,et al. Applications and Advances in Electronic-Nose Technologies , 2009, Sensors.
[118] Abdul Salam,et al. Internet of Things for Sustainable Human Health , 2019 .
[119] Eldert J. van Henten,et al. Proximal Gamma-Ray Spectroscopy to Predict Soil Properties Using Windows and Full-Spectrum Analysis Methods , 2013, Sensors.
[120] Abdul Mounem Mouazen,et al. Application of an on-line sensor to map soil packing density for site specific cultivation , 2016 .
[121] J. Alex Thomasson,et al. Ground-based sensing system for weed mapping in cotton , 2008 .
[122] Francisca López Granados. Weed detection for site-specific weed management: Mapping and real-time approaches , 2011 .
[123] Suat Irmak,et al. Nebraska Agricultural Water Management Demonstration Network (NAWMDN): integrating research and extension/outreach. , 2010 .
[124] J. V. Stafford,et al. Dynamic Sensing of Soil Pans , 1988 .
[125] Understanding corn development: A key for successful crop management , 2010 .
[126] Edward M. Barnes,et al. Remote Sensing of Cotton Nitrogen Status Using the Canopy Chlorophyll Content Index (CCCI) , 2008 .
[127] Mohammed R. Islam,et al. Field Methods for Monitoring Solute Transport , 2005 .
[128] Qian Du,et al. Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture , 2013, Proceedings of the IEEE.
[129] Peter Selsam,et al. ACQUISITION AND AUTOMATED RECTIFICATION OF HIGH-RESOLUTION RGB AND NEAR-IR AERIAL PHOTOGRAPHS TO ESTIMATE PLANT BIOMASS AND SURFACE TOPOGRAPHY IN ARID AGRO-ECOSYSTEMS , 2016, Experimental Agriculture.
[130] B. Jenkins,et al. Development, Construction, and Field Evaluation of a Soil Compaction Profile Sensor , 2007 .
[131] Viacheslav I. Adamchuk,et al. Water and Nitrogen Effects on Active Canopy Sensor Vegetation Indices , 2011 .
[132] S. Irmak,et al. Performance of Frequency-Domain Reflectometer, Capacitance, and Psuedo-Transit Time-Based Soil Water Content Probes in Four Coarse-Textured Soils , 2005 .
[133] Arno Ruckelshausen,et al. BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding , 2013, Sensors.
[134] Alessandro Rizzello,et al. Sustainable Financial Partnerships for the SDGs: The Case of Social Impact Bonds , 2020, Sustainability.
[135] C. Nansen,et al. Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canola , 2016, Precision Agriculture.
[136] Barry J. Allred,et al. Handbook of Agricultural Geophysics , 2016 .
[137] Urs Schmidhalter,et al. The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology , 2017, Sensors.
[138] D. Ehlert,et al. Widescale testing of the Crop-meter for site-specific farming , 2006, Precision Agriculture.
[139] Xiaozhe Fan,et al. The Future of Emerging IoT Paradigms: Architectures and Technologies , 2019 .
[140] Jon Nielsen,et al. Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots? , 2016 .
[141] A. Samal,et al. Using targeted sampling to process multivariate soil sensing data , 2011 .
[142] N. Coops,et al. Monitoring plant condition and phenology using infrared sensitive consumer grade digital cameras , 2014 .
[143] Viacheslav I. Adamchuk,et al. Development of an NDIR CO2 Sensor-Based System for Assessing Soil Toxicity Using Substrate-Induced Respiration , 2015, Sensors.
[144] F. Nex,et al. UAV for 3D mapping applications: a review , 2014 .
[145] Deng Lie,et al. Effects of citrus tree-shape and spraying height of small unmanned aerial vehicle on droplet distribution , 2016 .
[146] Arko Lucieer,et al. HyperUAS—Imaging Spectroscopy from a Multirotor Unmanned Aircraft System , 2014, J. Field Robotics.
[147] Molina Martínez,et al. Software application for calculating solar radiation and equivalent evaporation in mobile devices , 2015 .
[148] Mehmet C. Vuran,et al. Internet of underground things in precision agriculture: Architecture and technology aspects , 2018, Ad Hoc Networks.
[149] Irene Marzolff,et al. Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco , 2012, Remote. Sens..
[150] Abdul Salam. Subsurface MIMO: A Beamforming Design in Internet of Underground Things for Digital Agriculture Applications , 2019, J. Sens. Actuator Networks.
[151] David G. Schmale,et al. Tracking the potato late blight pathogen in the atmosphere using unmanned aerial vehicles and Lagrangian modeling , 2011 .
[152] S. L. Steinberg. A Gauge to Measure Mass Flow Rate of Sap in Stems and Trunks of Woody Plants , 1989, Journal of the American Society for Horticultural Science.
[153] J. Araus,et al. Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.
[154] Jessica A. Faust,et al. Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1998 .
[155] Jörn Selbeck,et al. Ranging Sensors for Vehicle-Based Measurement of Crop Stand and Orchard Parameters: A Review , 2011 .
[156] R. Gebbers,et al. Evaluating Spatially Resolved Influence of Soil and Tree Water Status on Quality of European Plum Grown in Semi-humid Climate , 2017, Front. Plant Sci..
[157] Kazunobu Ishii,et al. Correction of Low-altitude Thermal Images applied to estimating Soil Water Status , 2007 .
[158] L. Bundy,et al. Diagnostic Tests for Site‐Specific Nitrogen Recommendations for Winter Wheat , 2004 .
[159] Mehmet C. Vuran,et al. Smart underground antenna arrays: A soil moisture adaptive beamforming approach , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.
[160] J. Baluja,et al. Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV) , 2012, Irrigation Science.
[161] Simon Bennertz,et al. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging , 2014, Remote. Sens..
[162] Abdul Salam,et al. Internet of Things for Sustainable Mining , 2019 .
[163] S. Sankaran,et al. Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review , 2015 .
[164] Abdul Salam,et al. Internet of Things in Sustainable Energy Systems , 2019 .
[165] I. Colomina,et al. Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .
[166] Xin Dong,et al. Spatio-temporal soil moisture measurement with wireless underground sensor networks , 2010, 2010 The 9th IFIP Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net).
[167] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[168] Kenneth A. Sudduth,et al. Sun Position and Cloud Effects on Reflectance and Vegetation Indices of Corn , 2010 .
[169] E. V. Lukina,et al. Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application , 2002 .
[170] S. Friedman,et al. Relationships between the Electrical and Hydrogeological Properties of Rocks and Soils , 2005 .
[171] S. Irmak,et al. Development and Application of a Performance and Operational Feasibility Guide to Facilitate Adoption of Soil Moisture Sensors , 2019, Sustainability.
[172] Suat Irmak,et al. Pulses in the sand: Impulse response analysis of wireless underground channel , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.
[173] C. Daughtry,et al. Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status , 2005, Precision Agriculture.
[174] H. Nieto,et al. Crop water stress maps for an entire growing season from visible and thermal UAV imagery , 2016 .
[175] Saleh Taghvaeian,et al. Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in Oklahoma , 2018, Sensors.
[176] F. López-Granados,et al. Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV , 2014 .
[177] Umit Karabiyik,et al. A Cooperative Overlay Approach at the Physical Layer of Cognitive Radio for Digital Agriculture , 2019 .
[178] Mehmet C. Vuran,et al. Wireless underground channel diversity reception with multiple antennas for internet of underground things , 2017, 2017 IEEE International Conference on Communications (ICC).
[179] Erich-Christian Oerke,et al. Use of imaging spectroscopy to discriminate symptoms caused by Heterodera schachtii and Rhizoctonia solani on sugar beet , 2011, Precision Agriculture.
[180] E. F. Wallihan,et al. Portable Reflectance Meter for Estimating Chlorophyll Concentrations in Leaves1 , 1973 .
[181] Abdul Salam,et al. Internet of Things for Water Sustainability , 2019, Internet of Things.
[182] James S. Schepers,et al. Use of a virtual-reference concept to interpret active crop canopy sensor data , 2013, Precision Agriculture.
[183] Roger T Hanlon,et al. Use of commercial off-the-shelf digital cameras for scientific data acquisition and scene-specific color calibration. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.
[184] Daran R. Rudnick,et al. Performance Analysis of Capacitance and Electrical Resistance-Type Soil Moisture Sensors in a Silt Loam Soil , 2015 .
[185] Lav R. Khot,et al. Field-based crop phenotyping: Multispectral aerial imaging for evaluation of winter wheat emergence and spring stand , 2015, Comput. Electron. Agric..
[186] Georg Bareth,et al. NON-DESTRUCTIVE MONITORING OF RICE BY HYPERSPECTRAL IN-FIELD SPECTROMETRY AND UAV-BASED REMOTE SENSING: CASE STUDY OF FIELD-GROWN RICE IN NORTH RHINE-WESTPHALIA, GERMANY , 2016 .
[187] W. Raun,et al. In-Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index , 2006 .
[188] Gerhard Lange,et al. Geophysics / Geodesy: Handbuch zur Erkundung des Untergrundes von Deponien und Altlasten , 1999 .
[189] Mehmet C. Vuran,et al. Towards Internet of Underground Things in smart lighting: A statistical model of wireless underground channel , 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).
[190] E. M. Schetselaar,et al. Guidelines for radioelement mapping using gamma ray spectrometry data : also as open access e-book , 2003 .
[191] S. Jones,et al. A Review of Advances in Dielectric and Electrical Conductivity Measurement in Soils Using Time Domain Reflectometry , 2003 .
[192] Graciela Metternicht,et al. Remote sensing of soil salinity: potentials and constraints , 2003 .
[193] Marek G Zreda,et al. Quantifying mesoscale soil moisture with the cosmic-ray rover , 2013 .
[194] David C. Slaughter,et al. Autonomous robotic weed control systems: A review , 2008 .
[195] D. Goodin,et al. Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries , 2016, Plant Methods.
[196] D. Puchberger-Enengl,et al. A mobile lab-on-a-chip device for on-site soil nutrient analysis , 2017, Precision Agriculture.