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- Author:
- Kenneth A. Sudduth, et al. ; Peng Zhou; Kristen S. Veum; Minzan Li; Show all 4 Authors
- Source:
- Computers and electronics in agriculture 2022 v.196 pp. 106845
- ISSN:
- 0168-1699
- Subject:
- absorbance; agriculture; air drying; algorithms; calcium; calibration; cation exchange capacity; clay; cost effectiveness; data collection; databases; electronics; magnesium; pH; potassium; precision agriculture; prediction; reflectance; reflectance spectroscopy; sand; silt; soil depth; soil organic carbon; soil texture; spectrometers; total nitrogen; wavelengths; Illinois; Iowa; Michigan; Missouri; South Dakota
- Abstract:
- ... Diffuse reflectance spectroscopy in the visible and near-infrared wavelength ranges has potential to provide high-resolution, pollution-free, and nondestructive estimation of soil chemical and physical properties for use in precision agriculture. Practical implementation of this approach would be facilitated if soil property sensors using a limited number of reflectance bands could maintain accura ...
- Handle:
- 10113/7700600
- DOI:
- 10.1016/j.compag.2022.106845
- https://doi.org/10.1016/j.compag.2022.106845
- Author:
- Kenneth A. Sudduth, et al. ; Aijing Feng; Jianfeng Zhou; Earl D. Vories; Show all 4 Authors
- Source:
- Precision agriculture 2022 v.23 no.4 pp. 1248-1275
- ISSN:
- 1385-2256
- Subject:
- analysis of variance; canopy; clay fraction; cotton; electrical conductivity; field capacity; irrigation; meteorological data; plant available water; precision agriculture; prediction; remote sensing; sand; soil quality; soil texture; unmanned aerial vehicles; vegetation; water stress
- Abstract:
- ... Quantification of interactions of soil conditions, plant available water and weather conditions on crop development and production is the key for optimizing field management to achieve optimal production. The goal of this study was to quantify the effects of soil and weather conditions on cotton development and production using temporal aerial imagery data, weather and soil apparent electrical con ...
- DOI:
- 10.1007/s11119-022-09883-6
- https://doi.org/10.1007/s11119-022-09883-6
- Author:
- Kenneth A. Sudduth, et al. ; Chin Nee Vong; Stirling A. Stewart; Jianfeng Zhou; Newell R. Kitchen; Show all 5 Authors
- Source:
- Transactions of the ASABE v.64 no.4 pp. 1173-1183
- ISSN:
- 2151-0032
- Subject:
- Zea mays; algorithms; corn; field experimentation; forestry equipment; models; seedlings; unmanned aerial vehicles; vegetative growth
- Abstract:
- ... HighlightsUAV imagery can be used to characterize newly-emerged corn plants.Size and shape features used in a random forest model are able to predict days after emergence within a 3-day window.Diameter and area were important size features for predicting DAE for the first, second, and third week of emergence.Abstract. Assessing corn (Zea mays L.) emergence uniformity soon after planting is importa ...
- Handle:
- 10113/7464188
- DOI:
- 10.13031/trans.14145
- https://doi.org/10.13031/trans.14145
- Author:
- Kenneth A. Sudduth, et al. ; Chin Nee Vong; Lance S. Conway; Aijing Feng; Jianfeng Zhou; Newell R. Kitchen; Show all 6 Authors
- Source:
- Computers and electronics in agriculture 2022 v.198 no. pp. 107008
- ISSN:
- 0168-1699
- Subject:
- Zea mays; agriculture; cameras; case studies; corn; crop yield; data collection; developmental stages; electronics; neural networks; plant density; standard deviation
- Abstract:
- ... Assessment of corn (Zea Mays L.) emergence uniformity is important to evaluate crop yield potential. Previous studies have shown the potential of unmanned aerial vehicle (UAV) imagery and deep learning (DL) models in estimating early stand count and plant spacing uniformity, but few have extended further to field-scale mapping. Additionally, estimation of plant emergence date using UAV imagery in ...
- Handle:
- 10113/7760167
- DOI:
- 10.1016/j.compag.2022.107008
- CHORUS:
- 10.1016/j.compag.2022.107008
- https://doi.org/10.1016/j.compag.2022.107008
- Author:
- Kenneth A. Sudduth, et al. ; Aijing Feng; Jianfeng Zhou; Earl Vories; Show all 4 Authors
- Source:
- Computers and electronics in agriculture 2020 v.177 pp. 105711
- ISSN:
- 0168-1699
- Subject:
- Gossypium; automation; canopy; cotton; data collection; decision making; georeferencing; image analysis; information processing; models; processing time; seedlings; unmanned aerial vehicles
- Abstract:
- ... Crop emergence is an important agronomic factor for making field management decisions, such as replanting, that are time-sensitive and need to be made at very early stages. Crop emergence, evaluated using plant population, stand count and uniformity, is conventionally quantified manually, not accurate, and labor and time intensive. Unmanned aerial vehicle (UAV)-based imaging systems are able to sc ...
- DOI:
- 10.1016/j.compag.2020.105711
- CHORUS:
- 10.1016/j.compag.2020.105711
- https://doi.org/10.1016/j.compag.2020.105711
- Author:
- Kenneth A. Sudduth, et al. ; Aijing Feng; Jianfeng Zhou; Earl D. Vories; Meina Zhang; Show all 5 Authors
- Source:
- Biosystems engineering 2020 v.193 pp. 101-114
- ISSN:
- 1537-5110
- Subject:
- cameras; canopy; color; crop yield; data collection; flowering; georeferencing; lint cotton; models; monitoring; normalized difference vegetation index; plant height; remote sensing; temperature; unmanned aerial vehicles
- Abstract:
- ... Monitoring crop development and accurately estimating crop yield are important to improve field management and crop production. This study aimed to evaluate the performance of an unmanned aerial vehicle (UAV)-based remote sensing system in cotton yield estimation. A UAV system, equipped with an RGB camera, a multispectral camera, and an infrared thermal camera, was used to acquire images of a cott ...
- DOI:
- 10.1016/j.biosystemseng.2020.02.014
- https://doi.org/10.1016/j.biosystemseng.2020.02.014
- Author:
- Kenneth A. Sudduth, et al. ; Chin Nee Vong; Lance S. Conway; Jianfeng Zhou; Newell R. Kitchen; Show all 5 Authors
- Source:
- Computers and electronics in agriculture 2021 v.186 pp. 106214
- ISSN:
- 0168-1699
- Subject:
- Zea mays; agriculture; cameras; corn; cover crops; crop rotation; electronics; minimum tillage; models; no-tillage; soil; stand density; unmanned aerial vehicles
- Abstract:
- ... Optimum plant stand density and uniformity is vital in order to maximize corn (Zea mays L.) yield potential. Assessment of stand density can occur shortly after seedlings begin to emerge, allowing for timely replant decisions. The conventional methods for evaluating an early plant stand rely on manual measurement and visual observation, which are time consuming, subjective because of the small sam ...
- DOI:
- 10.1016/j.compag.2021.106214
- https://doi.org/10.1016/j.compag.2021.106214
- Author:
- Kenneth A. Sudduth, et al. ; Aijing Feng; Jianfeng Zhou; Earl Vories; Show all 4 Authors
- Source:
- Remote Sensing 2020 v.12 no.11 pp. -
- ISSN:
- 2072-4292
- Subject:
- Gossypium; algorithms; computer software; cotton; crop production; hyperspectral imagery; labor; normalized difference vegetation index; plant density; planting; remote sensing; seedlings; soil; standard deviation; unmanned aerial vehicles; weeds
- Abstract:
- ... Crop stand count and uniformity are important measures for making proper field management decisions to improve crop production. Conventional methods for evaluating stand count based on visual observation are time consuming and labor intensive, making it difficult to adequately cover a large field. The overall goal of this study was to evaluate cotton emergence at two weeks after planting using unm ...
- DOI:
- 10.3390/rs12111764
- https://doi.org/10.3390/rs12111764
- Author:
- Kenneth A Sudduth, et al. ; Zefang Shen; Leonardo Ramirez-Lopez; Thorsten Behrens; Lei Cui; Mingxi Zhang; Lewis Walden; Johanna Wetterlind; Zhou Shi; Philipp Baumann; Yongze Song; Kevin Catambay; Raphael A. Viscarra Rossel; Show all 13 Authors
- Source:
- ISPRS journal of photogrammetry and remote sensing 2022 v.188 pp. 190-200
- ISSN:
- 0924-2716
- Subject:
- climate change; food production; photogrammetry; soil; soil organic carbon; spectroscopy
- Abstract:
- ... 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, report, and verify (MRV) its changes. The reason is that increasing SOC can improve food production and mitigate climate change. However, ‘global’ modelling of SOC with such diverse and hyperdimensional SSLs do not generalise well locally, ...
- Handle:
- 10113/7755536
- DOI:
- 10.1016/j.isprsjprs.2022.04.009
- https://doi.org/10.1016/j.isprsjprs.2022.04.009
- Author:
- Kenneth A. Sudduth, et al. ; Meina Zhang; Jianfeng Zhou; Newell R. Kitchen; Show all 4 Authors
- Source:
- Biosystems engineering 2020 v.189 pp. 24-35
- ISSN:
- 1537-5110
- Subject:
- Zea mays; cameras; color; corn; crop yield; crops; data collection; decision making; developmental stages; fertilizer rates; image analysis; model validation; nitrogen; prediction; regression analysis; sample size; unmanned aerial vehicles
- Abstract:
- ... Accurate crop yield estimation is important for agronomic and economic decision-making. This study evaluated the performance of imagery data acquired using a unmanned aerial vehicle (UAV)-based imaging system for estimating yield of maize (Zea mays L.) and the effects of variable-rate nitrogen (N) application on crops. Images of a 27-ha maize field were captured using a UAV with a consumer-grade R ...
- Handle:
- 10113/6764527
- DOI:
- 10.1016/j.biosystemseng.2019.11.001
- https://doi.org/10.1016/j.biosystemseng.2019.11.001
- Author:
- Kenneth A. Sudduth, et al. ; Xiaoshuai Pei; Kristen S. Veum; Minzan Li; Show all 4 Authors
- Source:
- Sensors 2019 v.19 no.5 pp. 1011-1026
- ISSN:
- 1424-8220
- Subject:
- calcium; calibration; cation exchange capacity; clay soils; decision support systems; least squares; magnesium; near-infrared spectroscopy; neural networks; penetrometers; potassium; reflectance spectroscopy; sand; sand fraction; sensors (equipment); silt fraction; silty soils; soil electrical conductivity; soil organic carbon; soil pH; soil profiles; soil texture; soil water; soil water content; total nitrogen; ultraviolet-visible spectroscopy; Missouri
- Abstract:
- ... Optical diffuse reflectance spectroscopy (DRS) has been used for estimating soil physical and chemical properties in the laboratory. In-situ DRS measurements offer the potential for rapid, reliable, non-destructive, and low cost measurement of soil properties in the field. In this study, conducted on two central Missouri fields in 2016, a commercial soil profile instrument, the Veris P4000, acquir ...
- Handle:
- 10113/6477321
- DOI:
- 10.3390/s19051011
- PubMed:
- 30818828
- PubMed Central:
- PMC6427626
- https://doi.org/10.3390/s19051011
- Author:
- Kenneth A. Sudduth, et al. ; Philip L. Drew; E. John Sadler; Allen L. Thompson; Show all 4 Authors
- Source:
- Computers and electronics in agriculture 2019 v.162 pp. 269-280
- ISSN:
- 0168-1699
- Subject:
- algorithms; calibration; cameras; canopy; computer software; soil; soybeans; temperature; thermometers; wavelengths
- Abstract:
- ... A system combining a miniature long wavelength infrared (LWIR) camera with a visible, or RGB, camera was developed to capture a field of view and derive a plant-specific temperature measurement. The electronic and software development of the instrument, including calibration, field operation, and post-processing of data, are described. Calibration of the LWIR camera was accurate to 0.65 °C when re ...
- DOI:
- 10.1016/j.compag.2019.04.007
- https://doi.org/10.1016/j.compag.2019.04.007
- Author:
- Kenneth A. Sudduth, et al. ; Aijing Feng; Meina Zhang; Earl D. Vories; Jianfeng Zhou; Show all 5 Authors
- Source:
- Transactions of the ASABE v.62 no.2 pp. 393-404
- ISSN:
- 2151-0032
- Subject:
- cameras; canopy; cotton; crop yield; digital elevation models; electricity; flight; flowering; georeferencing; plant growth; plant height; regression analysis; soil texture; unmanned aerial vehicles; water stress
- Abstract:
- ... Accurate estimation of crop yield before harvest, especially in early growth stages, is important for farmers and researchers to optimize field management and evaluate crop performance. However, existing in-field methods for estimating crop yield are not efficient. The goal of this research was to evaluate the performance of a UAV-based remote sensing system with a low-cost RGB camera to estimate ...
- DOI:
- 10.13031/trans.13067
- https://doi.org/10.13031/trans.13067
- Author:
- Kenneth A. Sudduth, et al. ; Yongjin Cho; Scott T. Drummond; Show all 3 Authors
- Source:
- Transactions of the ASABE v.60 no.3 pp. 683-692
- ISSN:
- 2151-0032
- Subject:
- bulk density; data collection; electrical conductivity; land resources; near-infrared spectroscopy; penetrometers; precision agriculture; reflectance; reflectance spectroscopy; soil carbon; soil strength; soil texture; texture; total organic carbon; water content
- Abstract:
- ... Combining data collected in-field from multiple soil sensors has the potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate many important soil properties, such as soil carbon, water content, and texture. Other common soil sensors include penetrometers that measure soil strength and apparent electrical c ...
- DOI:
- 10.13031/trans.12049
- https://doi.org/10.13031/trans.12049
- Author:
- Kenneth A Sudduth, et al. ; Douglas L. Karlen; Kristen S. Veum; John F. Obrycki; Márcio R. Nunes; Show all 5 Authors
- Source:
- Soil & tillage research 2019 pp. -
- ISSN:
- 0167-1987
- Subject:
- health effects assessments; landscapes; monitoring; private sector; protocols; soil; soil management; soil quality; technology transfer; United States
- Abstract:
- ... Global interest in soil health has increased exponentially during the past decade, with many different government, non-government, and private sector groups striving to develop monitoring and assessment protocols. This brief review focuses on developments in the United States (U.S.) with some references to activities in other countries. It also documents how the soil health concept evolved and pro ...
- Handle:
- 10113/6560888
- DOI:
- 10.1016/j.still.2019.104365
- https://doi.org/10.1016/j.still.2019.104365
16. Cropping System, Landscape Position, and Topsoil Depth Affect Soil Fertility and Nutrient Buffering
- Author:
- Kenneth A. Sudduth, et al. ; Lance S. Conway; Matt A. Yost; Newell R. Kitchen; Kristen S. Veum; Show all 5 Authors
- Source:
- Soil Science Society of America journal 2018 v.82 no.2 pp. 382-391
- ISSN:
- 0361-5995
- Subject:
- Conservation Reserve Program; Glycine max; Triticum aestivum; USDA; Zea mays; agroecosystems; claypan soils; cold season; corn; cropping systems; hay; landscape position; landscapes; mulches; no-tillage; nutrient management; soil fertility; soil organic matter; soil properties; topsoil; warm season; watersheds; Mississippi River
- Abstract:
- ... Core Ideas Depth to claypan, landscape position, and cropping system influence soil fertility and nutrient buffering. Accounting for landscape‐variable depth to claypan could improve P and K management. Cover crops can help increase soil organic matter content. Cover crops may help reduce P requirements on claypan soils. Precise nutrient management across claypan soil landscapes requires an unders ...
- DOI:
- 10.2136/sssaj2017.08.0288
- https://doi.org/10.2136/sssaj2017.08.0288
- Author:
- Kenneth A. Sudduth, et al. ; Yongjin Cho; Alexander H. Sheridan; Kristen S. Veum; Show all 4 Authors
- Source:
- Transactions of the ASABE v.60 no.5 pp. 1503-1510
- ISSN:
- 2151-0032
- Subject:
- bulk density; clay; data collection; farms; nitrogen; particulate organic matter; precision agriculture; reflectance; reflectance spectroscopy; silt; soil carbon; soil texture; spectrometers; texture; topsoil; total nitrogen; total organic carbon; water content; Missouri
- Abstract:
- ... In-field, in-situ data collection with soil sensors has potential to improve the efficiency and accuracy of soil property estimates. Optical diffuse reflectance spectroscopy (DRS) has been used to estimate important soil properties, such as soil carbon, nitrogen, water content, and texture. Most previous work has focused on laboratory-based visible and near-infrared (VNIR) spectroscopy using dried ...
- DOI:
- 10.13031/trans.12299
- https://doi.org/10.13031/trans.12299
- Author:
- Kenneth A. Sudduth, et al. ; Yongjin Cho; Sun-Ok Chung; Show all 3 Authors
- Source:
- Biosystems engineering 2016 v.152 pp. 68-78
- ISSN:
- 1537-5110
- Subject:
- bulk density; clay fraction; data collection; electrical conductivity; models; soil strength; soil texture; water content; Missouri
- Abstract:
- ... Proximal soil sensing is an attractive approach for quantifying soil properties, but many currently available sensors do not respond to a single soil property. For example, soil strength and apparent electrical conductivity (ECa) sensor measurements are significantly affected by soil texture, bulk density (BD), and water content (WC). The objective of this study was to explore the potential for es ...
- DOI:
- 10.1016/j.biosystemseng.2016.07.003
- https://doi.org/10.1016/j.biosystemseng.2016.07.003
- Author:
- Kenneth A. Sudduth, et al. ; Kristen S. Veum; Robert J. Kremer; Newell R. Kitchen; Show all 4 Authors
- Source:
- Geoderma 2017 pp. -
- ISSN:
- 0016-7061
- Subject:
- cost effectiveness; cropping systems; disturbed soils; electrical conductivity; labor; least squares; model validation; models; reflectance; reflectance spectroscopy; resistance to penetration; soil management; soil quality; soil sampling; soil strength; spectral analysis; Missouri
- Abstract:
- ... Assessment of soil health involves determining how well a soil is performing its biological, chemical, and physical functions relative to its inherent potential. Due to high cost, labor requirements, and soil disturbance, traditional laboratory analyses cannot provide high resolution soil health data. Therefore, sensor-based approaches are important to facilitate cost-effective, site-specific mana ...
- DOI:
- 10.1016/j.geoderma.2017.05.031
- https://doi.org/10.1016/j.geoderma.2017.05.031
20. Using Topsoil Thickness to Improve Site‐Specific Phosphorus and Potassium Management on Claypan Soil
- Author:
- Kenneth A. Sudduth, et al. ; Lance S. Conway; Matt A. Yost; Newell R. Kitchen; Show all 4 Authors
- Source:
- Agronomy journal 2017 v.109 no.5 pp. 2291-2301
- ISSN:
- 0002-1962
- Subject:
- Glycine max; Panicum virgatum; Zea mays; agronomy; claypan soils; corn; farms; fertilizer rates; phosphorus; potassium; potassium fertilizers; soybeans; spring; topsoil; Missouri
- Abstract:
- ... CORE IDEAS: Topsoil depth influences P and K dynamics on claypan soils. Most P and K dynamics were inversely affected by depth to claypan. Accounting for depth to claypan could improve P and K fertilizer management. Precise P and K fertilizer management on claypan soils can be difficult due to variable topsoil thickness, or depth to claypan (DTC), across landscapes, nutrient supply from subsoils, ...
- DOI:
- 10.2134/agronj2017.01.0038
- https://doi.org/10.2134/agronj2017.01.0038
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