Search Results - "Sudduth, Kenneth A"

Refine Results
  1. 1

    Evaluating UAV-Based Remote Sensing for Hay Yield Estimation by Lee, Kyuho, Sudduth, Kenneth A, Zhou, Jianfeng

    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…”
    Get full text
    Journal Article
  2. 2

    Predicting Profile Soil Properties with Reflectance Spectra via Bayesian Covariate-Assisted External Parameter Orthogonalization by S Veum, Kristen, A Parker, Paul, A Sudduth, Kenneth, H Holan, Scott

    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…”
    Get full text
    Journal Article
  3. 3

    Improving In-Situ Estimation of Soil Profile Properties Using a Multi-Sensor Probe by Pei, Xiaoshuai, Sudduth, Kenneth A, Veum, Kristen S, Li, Minzan

    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…”
    Get full text
    Journal Article
  4. 4

    Yield Editor: Software for Removing Errors from Crop Yield Maps by Sudduth, K.A, Drummond, S.T

    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…”
    Get full text
    Journal Article
  5. 5

    Evaluation of cotton emergence using UAV-based imagery and deep learning by Feng, Aijing, Zhou, Jianfeng, Vories, Earl, Sudduth, Kenneth A.

    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…”
    Get full text
    Journal Article
  6. 6

    Soil health assessment: Past accomplishments, current activities, and future opportunities by Karlen, Douglas L., Veum, Kristen S., Sudduth, Kenneth A, Obrycki, John F., Nunes, Márcio R.

    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…”
    Get full text
    Journal Article
  7. 7

    Soybean Root Distribution Related to Claypan Soil Properties and Apparent Soil Electrical Conductivity by Myers, D.B, Kitchen, N.R, Sudduth, K.A, Sharp, R.E, Miles, R.J

    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…”
    Get full text
    Journal Article
  8. 8

    Early corn stand count of different cropping systems using UAV-imagery and deep learning by Vong, Chin Nee, Conway, Lance S., Zhou, Jianfeng, Kitchen, Newell R., Sudduth, Kenneth A.

    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…”
    Get full text
    Journal Article
  9. 9

    Extraction of reflectance spectra features for estimation of surface, subsurface, and profile soil properties by Zhou, Peng, Sudduth, Kenneth A., Veum, Kristen S., Li, Minzan

    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…”
    Get full text
    Journal Article
  10. 10

    Deep transfer learning of global spectra for local soil carbon monitoring by Shen, Zefang, Ramirez-Lopez, Leonardo, Behrens, Thorsten, Cui, Lei, Zhang, Mingxi, Walden, Lewis, Wetterlind, Johanna, Shi, Zhou, Sudduth, Kenneth A, Baumann, Philipp, Song, Yongze, Catambay, Kevin, Viscarra Rossel, Raphael A.

    “…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,…”
    Get full text
    Journal Article
  11. 11

    Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning by Feng, Aijing, Zhou, Jianfeng, Vories, Earl, Sudduth, Kenneth A.

    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…”
    Get full text
    Journal Article
  12. 12

    Evaluation of Cotton Emergence Using UAV-Based Narrow-Band Spectral Imagery with Customized Image Alignment and Stitching Algorithms by Feng, Aijing, Zhou, Jianfeng, Vories, Earl, Sudduth, Kenneth A.

    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…”
    Get full text
    Journal Article
  13. 13

    Biological indicators of soil quality and soil organic matter characteristics in an agricultural management continuum by Veum, Kristen S, Goyne, Keith W, Kremer, Robert J, Miles, Randall J, Sudduth, Kenneth A

    Published in Biogeochemistry (2014)
    “…Relationships among biological indicators of soil quality and organic matter characteristics were evaluated across a continuum of long-term agricultural…”
    Get full text
    Journal Article
  14. 14

    The LTAR Cropland Common Experiment at Central Mississippi River Basin by Abendroth, Lori J., Schreiner‐McGraw, Adam P., Ransom, Curtis J., Baffaut, Claire, Sudduth, Kenneth A., Veum, Kristen S.

    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…”
    Get full text
    Journal Article
  15. 15

    Quantifying the effects of soil texture and weather on cotton development and yield using UAV imagery by Feng, Aijing, Zhou, Jianfeng, Vories, Earl D., Sudduth, Kenneth A.

    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…”
    Get full text
    Journal Article
  16. 16

    Repeatability of commercially available visible and near infrared proximal soil sensors by Conway, Lance S., Sudduth, Kenneth A., Kitchen, Newell R., Anderson, Stephen H.

    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,…”
    Get full text
    Journal Article
  17. 17

    Automated sensing of hydroponic macronutrients using a computer-controlled system with an array of ion-selective electrodes by Kim, Hak-Jin, Kim, Won-Kyung, Roh, Mi-Young, Kang, Chang-Ik, Park, Jong-Min, Sudduth, Kenneth A

    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,…”
    Get full text
    Journal Article
  18. 18

    Modeling soil electrical conductivity–depth relationships with data from proximal and penetrating ECa sensors by Sudduth, Kenneth A., Myers, D. Brenton, Kitchen, Newell R., Drummond, Scott T.

    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…”
    Get full text
    Journal Article Conference Proceeding
  19. 19

    Development of a multi-band sensor for crop temperature measurement by Drew, Philip L., Sudduth, Kenneth A., Sadler, E. John, Thompson, Allen L.

    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…”
    Get full text
    Journal Article
  20. 20

    Long-Term Agroecosystem Research in the Central Mississippi River Basin: Hyperspectral Remote Sensing of Reservoir Water Quality by Sudduth, Kenneth A, Jang, Gab-Sue, Lerch, Robert N, Sadler, E. John

    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…”
    Get full text
    Journal Article