Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Anne Denton"'
Publikováno v:
Sensors, Vol 15, Iss 11, Pp 27832-27853 (2015)
Active-optical sensor readings from an N non-limiting area standard established within a farm field are used to predict yield in the standard. Lower yield predictions from sensor readings obtained from other parts of the field outside of the N non-li
Externí odkaz:
https://doaj.org/article/4874323b07814c9b9aaa9c754119a4ea
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 4, p 196 (2019)
Topographic features impact biomass and other agriculturally relevant observables. However, conventional tools for processing digital elevation model (DEM) data in geographic information systems have severe limitations. Typically, 3-by-3 window sizes
Externí odkaz:
https://doaj.org/article/4ed5ef30f4184b1bb1d5ef8896acc139
The sea-ice floe size distribution (FSD) characterizes the sea-ice response to atmospheric and oceanic forcing and is important for understanding and modeling the evolving ice pack in a warming Arctic. FSDs are evaluated from 78 floe-segmented high-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e8b244dc4560bbf39d68f0de91a327
https://doi.org/10.5194/tc-2021-368
https://doi.org/10.5194/tc-2021-368
Publikováno v:
Agronomy Journal. 109:299-308
Autor:
Arighna Roy, Anne Denton
Publikováno v:
EIT
Increasingly large amounts of data are being collected, but data quantity may fail to translate to predictability, when all data are affected by the same broad trends. That makes it important to identify the most important predictors for relevant out
Publikováno v:
EIT
An autonomous genetic algorithm has been implemented that uses Geospatial data to locate the most feasible locations for setting up base camps in a disaster scenario such as a flood where evacuation and rescue efforts are of primary importance. Moder
Publikováno v:
EIT
Increase in resolution of Digital Elevation Models (DEMs), multispectral data generated by remote sensing satellites and Lidar have caused a rapid increase in the amount of data that can be processed by GIS software. However, the GIS tools still use
Publikováno v:
EIT
Application of neural networks for image classification has significantly increased prediction accuracy rates. One area where neural networks could perform well includes classification of medical image datasets. Several convolutional neural networks
Publikováno v:
Agronomy Journal. 108:2158-2162
Publikováno v:
Computers and Electronics in Agriculture. 124:254-262
An acoustic height sensor could be used with the INSEY value to improve corn in-season N management.The height sensor was especially useful at earlier and later growth stages depending on the site.Normalizing height aided the relationships with activ