Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia
Agricultural production is under threat due to climate change in food insecure regions,
especially in Asian countries. Various climate-driven extremes, ie, drought, heat waves …
especially in Asian countries. Various climate-driven extremes, ie, drought, heat waves …
Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem
E Craswell - SN Applied Sciences, 2021 - Springer
Nitrate pollution of ground and surface water bodies all over the world is generally linked
with continually increasing global fertilizer nitrogen (N) use. But after 1990, with more …
with continually increasing global fertilizer nitrogen (N) use. But after 1990, with more …
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
This study investigates whether coupling crop modeling and machine learning (ML)
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
[HTML][HTML] Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future
Understanding the potential drought impacts on agricultural production is critical for
ensuring global food security. Instead of providing a deterministic estimate, this study …
ensuring global food security. Instead of providing a deterministic estimate, this study …
[HTML][HTML] Assimilation of remote sensing into crop growth models: Current status and perspectives
Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …
Cyber-agricultural systems for crop breeding and sustainable production
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …
[HTML][HTML] Integrated phenology and climate in rice yields prediction using machine learning methods
Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with
the growth of the global population. Precisely predicting rice yields are of vital importance to …
the growth of the global population. Precisely predicting rice yields are of vital importance to …
Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates
Extreme weather events threaten food security, yet global assessments of impacts caused
by crop waterlogging are rare. Here we first develop a paradigm that distils common stress …
by crop waterlogging are rare. Here we first develop a paradigm that distils common stress …
A review of data assimilation of remote sensing and crop models
Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …
management decision-making at a regional scale is crucial for national food policy and …
[HTML][HTML] Brief history of agricultural systems modeling
Agricultural systems science generates knowledge that allows researchers to consider
complex problems or take informed agricultural decisions. The rich history of this science …
complex problems or take informed agricultural decisions. The rich history of this science …