Search Results - "Sudduth, Kenneth A"
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1
Evaluating UAV-Based Remote Sensing for Hay Yield Estimation
Published in Sensors (Basel, Switzerland) (17-08-2024)“…(1) Background: Yield-monitoring systems are widely used in grain crops but are less advanced for hay and forage. Current commercial systems are generally…”
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2
Predicting Profile Soil Properties with Reflectance Spectra via Bayesian Covariate-Assisted External Parameter Orthogonalization
Published in Sensors (Basel, Switzerland) (10-11-2018)“…In situ, diffuse reflectance spectroscopy (DRS) profile soil sensors have the potential to provide both rapid and high-resolution prediction of multiple soil…”
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3
Improving In-Situ Estimation of Soil Profile Properties Using a Multi-Sensor Probe
Published in Sensors (Basel, Switzerland) (27-02-2019)“…Optical diffuse reflectance spectroscopy (DRS) has been used for estimating soil physical and chemical properties in the laboratory. In-situ DRS measurements…”
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4
Yield Editor: Software for Removing Errors from Crop Yield Maps
Published in Agronomy journal (01-11-2007)“…Yield maps are a key component of precision agriculture, due to their usefulness in both development and evaluation of precision management strategies. The…”
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Evaluation of cotton emergence using UAV-based imagery and deep learning
Published in Computers and electronics in agriculture (01-10-2020)“…•Developed near real-time data processing framework for single UAV frames.•Developed a deep learning architecture for effective image data…”
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6
Soil health assessment: Past accomplishments, current activities, and future opportunities
Published in Soil & tillage research (01-12-2019)“…•Evolution of the soil health concept is presented.•Increased private sector support has significantly accelerated awareness of and interest in soil…”
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Soybean Root Distribution Related to Claypan Soil Properties and Apparent Soil Electrical Conductivity
Published in Crop science (01-07-2007)“…Soybean [Glycine max (L.) Merr.] yield in claypan soils varies systematically with soil properties and landscape position. This is likely caused by soil…”
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Early corn stand count of different cropping systems using UAV-imagery and deep learning
Published in Computers and electronics in agriculture (01-07-2021)“…•Corn fields with different cropping systems and residue were studied.•A deep learning model was used to segment corn seedlings in UAV images.•An image…”
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Extraction of reflectance spectra features for estimation of surface, subsurface, and profile soil properties
Published in Computers and electronics in agriculture (01-05-2022)“…•Accuracy of reflectance spectroscopy estimates of soil properties varied by depth.•Number and location of important wavebands varied by depth and by soil…”
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Deep transfer learning of global spectra for local soil carbon monitoring
Published in ISPRS journal of photogrammetry and remote sensing (01-06-2022)“…There is global interest in spectroscopy and the development of large and diverse soil spectral libraries (SSL) to model soil organic carbon (SOC) and monitor,…”
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11
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning
Published in Precision agriculture (01-02-2024)“…Crop yield prediction is important for farmers to conduct proper field management and make marketing decisions. Yield prediction models built on single-type…”
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Evaluation of Cotton Emergence Using UAV-Based Narrow-Band Spectral Imagery with Customized Image Alignment and Stitching Algorithms
Published in Remote sensing (Basel, Switzerland) (01-06-2020)“…Crop stand count and uniformity are important measures for making proper field management decisions to improve crop production. Conventional methods for…”
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13
Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum
Published in Biogeochemistry (2014)“…Relationships among biological indicators of soil quality and organic matter characteristics were evaluated across a continuum of long-term agricultural…”
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14
The LTAR Cropland Common Experiment at Central Mississippi River Basin
Published in Journal of environmental quality (01-11-2024)“…The Central Mississippi River Basin (CMRB) Common Experiment, with its marginal soils and southern Corn Belt climate, is an ideal location for evaluating…”
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15
Quantifying the effects of soil texture and weather on cotton development and yield using UAV imagery
Published in Precision agriculture (01-08-2022)“…Quantification of interactions of soil conditions, plant available water and weather conditions on crop development and production is the key for optimizing…”
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16
Repeatability of commercially available visible and near infrared proximal soil sensors
Published in Precision agriculture (01-06-2023)“…Integration of reflectance sensors into commercial planter or tillage components have allowed for dense quantification of spatial soil variability. However,…”
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Automated sensing of hydroponic macronutrients using a computer-controlled system with an array of ion-selective electrodes
Published in Computers and electronics in agriculture (01-04-2013)“…► An ISE-based, automated test stand for direct measurement of hydroponic nutrients is developed. ► The sensitivity and selectivity of PVC membranes for NO3,…”
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18
Modeling soil electrical conductivity–depth relationships with data from proximal and penetrating ECa sensors
Published in Geoderma (01-05-2013)“…Apparent soil electrical conductivity (ECa), a widely used proximal soil sensing technology, is related to several important soil properties, including…”
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Development of a multi-band sensor for crop temperature measurement
Published in Computers and electronics in agriculture (01-07-2019)“…•System captured matched images from visible and long wave infrared (LWIR) cameras.•Temperature calibration of the LWIR camera was accurate to within…”
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Long-Term Agroecosystem Research in the Central Mississippi River Basin: Hyperspectral Remote Sensing of Reservoir Water Quality
Published in Journal of environmental quality (2015)“…In situ methods for estimating water quality parameters would facilitate efforts in spatial and temporal monitoring, and optical reflectance sensing has shown…”
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