Zobrazeno 1 - 10
of 165
pro vyhledávání: '"James S. Schepers"'
Autor:
Newell R. Kitchen, Curtis J. Ransom, James S. Schepers, Jerry L. Hatfield, Raymond Massey, Scott T. Drummond
Publikováno v:
PLoS ONE, Vol 17, Iss 5 (2022)
For maize (Zea mays L.), nitrogen (N) fertilizer use is often summarized from field to global scales using average N use efficiency (NUE). But expressing NUE as averages is misleading because grain increase to added N diminishes near optimal yield. T
Externí odkaz:
https://doaj.org/article/161f6fbda62e480e80b79ebcc32e6053
Autor:
Christos D. Tsadilas, M. Glampedakis, Nicholas Dercas, T. Nikoli, Stamatis Stamatiadis, A. Glampedakis, James S. Schepers, Eleftherios Evangelou
Publikováno v:
Precision Agriculture. 21:1008-1026
Improved genetics and better management have increased maize productivity, but often at the expense of excess water and N fertilizer. Environmental concerns have prompted the development of precision technologies and associated management strategies
Autor:
Eleftherios Evangelou, James S. Schepers, Christos D. Tsadilas, A. Glampedakis, Eleftheria Tsadila, Stamatis Stamatiadis, N. Tserlikakis, M. Glampedakis, Nicholas Dercas
Publikováno v:
Precision Agriculture. 21:695-712
Spatial crop nitrogen (N) management has advanced over the years by using canopy reflectance data to make N recommendations. But the value of an automated system for variable-rate applications (VRA) has not been extensively demonstrated in cotton. Th
Autor:
James S. Schepers, Timothy M. Shaver, Juan Pablo Garcia Montealegre, Richard B. Ferguson, Charles S. Wortmann
Publikováno v:
Agronomy Journal. 111:2453-2461
Autor:
Juan Pablo Garcia Montealegre, Richard Little, Richard B. Ferguson, Charles S. Wortmann, Timothy M. Shaver, James S. Schepers
Publikováno v:
Nutrient Cycling in Agroecosystems. 114:225-235
The fertilizer N equivalent (FNE) value of applied organic N (OrgN) is poorly predicted, often resulting in over-application of fertilizer N. Research was conducted for irrigated, continuous-corn (Zea mays L.) in eastern Nebraska with three rates of
Publikováno v:
Sensing Approaches for Precision Agriculture ISBN: 9783030784300
Maximum genetically possible crop growth and yield are inhibited by abiotic and or biotic stresses. Biotic stresses may include pests, insects or disease infestations whereas abiotic stress includes nutritional deficiencies. Sensors have been develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0f8e02ff4632eeac94884ed62653a22
https://doi.org/10.1007/978-3-030-78431-7_6
https://doi.org/10.1007/978-3-030-78431-7_6
Autor:
James J. Camberato, Richard B. Ferguson, Peter C. Scharf, James S. Schepers, Emerson D. Nafziger, David W. Franzen, Gregory Mac Bean, John E. Sawyer, Fabián G. Fernández, J. S. Shanahan, Newell R. Kitchen, Carrie A. M. Laboski
Publikováno v:
Agronomy Journal. 110:2552-2565
Uncertainty exists with corn (Zea mays L.) N management due to year-to-year variation in crop N need, soil N supply, and N loss from leaching, volatilization, and denitrification. Active-optical reflectance sensing (AORS) has proven effective in some
Autor:
Loren J. Giesler, Charles A. Shapiro, Maxwel C. Oliveira, Nicholas J. Arneson, James S. Schepers, Kent M. Eskridge, Joshua J. Miller
Publikováno v:
Field Crops Research. 216:22-31
Canopy reflectance has been used in crops, such as corn and wheat, to assess crop status and direct in-season management practices, but less research has focused on using canopy reflectance in soybean research and production. In this study, soybean c
Autor:
James S. Schepers
Publikováno v:
Precision Agriculture. 20:1-3
Autor:
M. Glampedakis, Nicholas Dercas, Nikolaos V. Spyropoulos, A. Glampedakis, Stamatis Stamatiadis, James S. Schepers, Christos D. Tsadilas, Nicolas R. Dalezios, Eleftherios Evangelou, Kent M. Eskridge
Publikováno v:
Precision Agriculture
Variable-rate application (VRA) addresses in-field variation in soil nitrogen (N) availability and crop response, and as such is a tool for more effective site-specific management. This study assessed the performance of a VRA system for on-the-go del