[HTML][HTML] Smart agriculture and digital twins: Applications and challenges in a vision of sustainability
Smart agriculture–ie., the increasing use of information technologies, sensors, autonomous
vehicles, data analytics, predictive modelling, and other digital technologies related to …
vehicles, data analytics, predictive modelling, and other digital technologies related to …
[HTML][HTML] Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity and economics
A Balafoutis, B Beck, S Fountas, J Vangeyte… - Sustainability, 2017 - mdpi.com
Agriculture is one of the economic sectors that affect climate change contributing to
greenhouse gas emissions directly and indirectly. There is a trend of agricultural …
greenhouse gas emissions directly and indirectly. There is a trend of agricultural …
Strengths and limitations of nitrogen rate recommendations for corn and opportunities for improvement
TF Morris, TS Murrell, DB Beegle… - Agronomy …, 2018 - Wiley Online Library
Core Ideas Nitrogen recommendations for individual corn fields are less accurate than
desired. Nitrogen recommendations need improvement for economic and environmental …
desired. Nitrogen recommendations need improvement for economic and environmental …
[HTML][HTML] A review of methods to improve nitrogen use efficiency in agriculture
LK Sharma, SK Bali - Sustainability, 2017 - mdpi.com
Management of nitrogen (N) is a challenging task and several methods individually and in
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …
combination are in use to manage its efficiency. However, nitrogen use efficiency (NUE) has …
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
DJ Mulla - Biosystems engineering, 2013 - Elsevier
Precision agriculture dates back to the middle of the 1980's. Remote sensing applications in
precision agriculture began with sensors for soil organic matter, and have quickly diversified …
precision agriculture began with sensors for soil organic matter, and have quickly diversified …
Nitrogen in agriculture: balancing the cost of an essential resource
GP Robertson, PM Vitousek - Annual review of environment and …, 2009 - annualreviews.org
Nitrogen (N) is central to living systems, and its addition to agricultural cropping systems is
an essential facet of modern crop management and one of the major reasons that crop …
an essential facet of modern crop management and one of the major reasons that crop …
New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat
P Chen, D Haboudane, N Tremblay, J Wang… - Remote Sensing of …, 2010 - Elsevier
To reduce environment pollution from cropping activities, a reliable indicator of crop N status
is needed for site-specific N management in agricultural fields. Nitrogen Nutrition Index …
is needed for site-specific N management in agricultural fields. Nitrogen Nutrition Index …
Aerial color infrared photography for determining early in‐season nitrogen requirements in corn
RP Sripada, RW Heiniger, JG White… - Agronomy …, 2006 - Wiley Online Library
In‐season determination of corn (Zea mays L.) N requirements via remote sensing may help
optimize N application decisions and improve profit, fertilizer use efficiency, and …
optimize N application decisions and improve profit, fertilizer use efficiency, and …
Smart farming technologies–description, taxonomy and economic impact
Precision Agriculture is a cyclic optimization process where data have to be collected from
the field, analysed and evaluated and finally used for decision making for site-specific …
the field, analysed and evaluated and finally used for decision making for site-specific …
[HTML][HTML] Modeling long-term corn yield response to nitrogen rate and crop rotation
Improved prediction of optimal N fertilizer rates for corn (Zea mays L.) can reduce N losses
and increase profits. We tested the ability of the Agricultural Production Systems sIMulator …
and increase profits. We tested the ability of the Agricultural Production Systems sIMulator …