Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Nicolas Federico Martin"'
Publikováno v:
Soil Science Society of America Journal. 86:65-78
Publikováno v:
Agronomy journal
Vol.113, no.2
FAUBA Digital (UBA-FAUBA)
Universidad de Buenos Aires. Facultad de Agronomía
instacron:UBA-FAUBA
Vol.113, no.2
FAUBA Digital (UBA-FAUBA)
Universidad de Buenos Aires. Facultad de Agronomía
instacron:UBA-FAUBA
Alesso, Carlos Agustín. Universidad Nacional del Litoral (UNL). Facultad de Ciencias Agrarias. Instituto de Ciencias Agropecuarias del Litoral (ICiAgro). Esperanza, Santa Fe, Argentina. Alesso, Carlos Agustín. CONICET - Universidad Nacional del Lit
Autor:
Aaron G. Hager, Martin M. Williams, Adam S. Davis, Christopher A. Landau, Nicolas Federico Martin, Patrick J. Tranel
Publikováno v:
Pest Management Science
BACKGROUND By 2050, weather is expected to become more variable with a shift towards higher temperatures and more erratic rainfall throughout the U.S. Corn Belt. The effects of this predicted weather change on pre‐emergence (PRE) herbicide efficacy
Publikováno v:
Precision Agriculture. 22:342-363
Within-field variability of crop yield levels has been extensively investigated, but the spatial variability of crop yield responses to agronomic treatments is less understood. On-farm precision experimentation (OFPE) can be a valuable tool for the e
Autor:
Nicolas Federico Martin, Bruce D. Maxwell, Joe D. Luck, Haiying Tao, David S. Bullock, Luciano Shozo Shiratsuchi, Laila A. Puntel, Maria A. Boerngen
Publikováno v:
Agronomy Journal. 111:2736-2746
Publikováno v:
Agronomy Journal. 111:2724-2735
Publikováno v:
Remote Sensing; Volume 12; Issue 21; Pages: 3617
Remote Sensing, Vol 12, Iss 3617, p 3617 (2020)
Ainfo
Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
Remote Sensing, Vol 12, Iss 3617, p 3617 (2020)
Ainfo
Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
Soybean maturity is a trait of critical importance for the development of new soybean cultivars, nevertheless, its characterization based on visual ratings has many challenges. Unmanned aerial vehicles (UAVs) imagery-based high-throughput phenotyping
Publikováno v:
CVPR Workshops
Modeling the spatial structure of crop inputs is of great importance for accurate yield prediction. It is a fundamental step towards optimizing the spatial allocation of resources such as seed and fertilizer. We propose two distinct architectures of
Autor:
Germán A. Bollero, Eric Gabriel Coronel, Kevin Lee Armstrong, Carlos Agustín Alesso, Nicolas Federico Martin
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 3, Iss 1, Pp n/a-n/a (2020)
Sufficient soil moisture is crucial for corn (Zea mays L.) germination and emergence. As within‐field soil moisture varies, it is often expected that corn seeding depth should vary accordingly. As seedbeds get drier, deeper planting increases the c
Autor:
Taro Mieno, Nicolas Federico Martin, Sotirios V. Archontoulis, Cameron M. Pittelkow, German Mandrini
Publikováno v:
Agricultural Systems. 194:103275
CONTEXT Improving nitrogen (N) fertilizer recommendations for maize (Zea mays L.) in the US Midwest has been the focus of much research, yet there is no agreement for which methodology is the best to balance trade-offs between production and environm