Zobrazeno 1 - 10
of 359
pro vyhledávání: '"Steven R, Evett"'
Publikováno v:
Vadose Zone Journal, Vol 21, Iss 6, Pp n/a-n/a (2022)
Abstract Downhole soil volumetric water content (VWC) sensors are used in access tubes to assess the soil water content at multiple depths. If sensor readings are spaced closely enough vertically and are accurate enough, then accurate soil profile wa
Externí odkaz:
https://doaj.org/article/7030b1ed832e4979a29714873fa1be6a
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 4, Iss 2, Pp n/a-n/a (2021)
Abstract Having similar profit potential but roughly half of the water requirements of corn (Zea mays L.), cotton (Gossypium hirsutum L.) has become an attractive crop in the Southern High Plains (SHP) where groundwater levels and well capacities con
Externí odkaz:
https://doaj.org/article/311d6e8256914306b0f18a866a4ce8d8
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 4, Iss 4, Pp n/a-n/a (2021)
Abstract Advances in environmental and agricultural management are increasingly enabled by unattended data acquisition using internet‐of‐things (IOT) approaches. These approaches combine advanced sensors and wireless data transmission to automati
Externí odkaz:
https://doaj.org/article/3f63e41d91d84d2aba4349224c4f232a
Autor:
Alondra I. Thompson, Harry H. Schomberg, Steven R. Evett, Daniel K. Fisher, Steven B. Mirsky, S. Chris Reberg‐Horton
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 4, Iss 4, Pp n/a-n/a (2021)
Abstract Advances in open‐source microcontroller (MC) technologies have created opportunities for development of low‐cost real‐time environmental data collection systems. An inexpensive system based on the ARDUINO‐MC was developed using a gat
Externí odkaz:
https://doaj.org/article/8020e5181b2a4343a69755a9b0d1ede5
Publikováno v:
Journal of the ASABE. 66:297-305
Highlights This study analyzes the feasibility of using Artificial Neural Networks (ANNs) to estimate canopy temperatures. A methodology is introduced to forecast canopy temperatures using historical canopy temperatures. ANNs can predict canopy tempe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de2e78ca06e810a462ff520389892753
https://doi.org/10.13031/ja.15213
https://doi.org/10.13031/ja.15213
Autor:
Jin ZHAO, Qing-wu XUE, Kirk E Jessup, Xiao-bo HOU, Bao-zhen HAO, Thomas H Marek, Wen-wei XU, Steven R Evett, Susan A O'Shaughnessy, David K Brauer
Publikováno v:
Journal of Integrative Agriculture, Vol 17, Iss 5, Pp 1093-1105 (2018)
This study aimed to investigate the differences in shoot and root traits, and water use and water use efficiency (WUE) in drought tolerant (DT) maize (Zea mays L.) hybrids under full and deficit irrigated conditions. A two-year greenhouse study was c
Externí odkaz:
https://doaj.org/article/0f026cd65f1f422f92ef547212d8b3f0
Autor:
Sandeep Bhatti, Derek M. Heeren, Susan A. O’Shaughnessy, Steven R. Evett, Mitchell S. Maguire, Suresh P. Kashyap, Christopher M. U. Neale
Publikováno v:
Applied Engineering in Agriculture. 38:331-342
HighlightsMultispectral sensors mounted on the center pivot lateral were able to capture differences between rainfed and irrigated crop.Canopy temperature was strongly associated among stationary and pivot-mounted sensors with coefficient of determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::311e16c60de268c1a3a2dc7832c7968a
https://doi.org/10.13031/aea.14945
https://doi.org/10.13031/aea.14945
Autor:
Todd G, Caldwell, Michael H, Cosh, Steven R, Evett, Nathan, Edwards, Heather, Hofman, Bradley G, Illston, Tilden, Meyers, Marina, Skumanich, Kent, Sutcliffe
Publikováno v:
Journal of visualized experiments : JoVE. (189)
Soil moisture directly affects operational hydrology, food security, ecosystem services, and the climate system. However, the adoption of soil moisture data has been slow due to inconsistent data collection, poor standardization, and typically short
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::dfdb21821ff36f1756e24afc5f48b823
https://pubmed.ncbi.nlm.nih.gov/36468716
https://pubmed.ncbi.nlm.nih.gov/36468716
Autor:
Kent Sutcliffe, Marina Skumanich, Tilden Meyers, Bradley G. Illston, Heather Hofman, Nathan Edwards, Steven R. Evett, Michael H. Cosh, Todd G. Caldwell
Publikováno v:
Journal of Visualized Experiments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b8e23c8b9b80381773f95ec3c84ad28
https://doi.org/10.3791/64498-v
https://doi.org/10.3791/64498-v
Publikováno v:
Sensors, Vol 14, Iss 9, Pp 17753-17769 (2014)
Knowledge of crop abiotic and biotic stress is important for optimal irrigation management. While spectral reflectance and infrared thermometry provide a means to quantify crop stress remotely, these measurements can be cumbersome. Computer vision of
Externí odkaz:
https://doaj.org/article/7fe25e58ab014f51a119ddedab4abce0