Add to ORKGWe have used the approach developed by Dorado et al. (2019) (see link provided) combined with seasonal forecasts (Esquivel et al., 2018) to produce a proof of concept where we combine seasonal forecasts and artificial intelligence prediction models for optimizing agronomic practices
Most business-as-usual scenarios for farming under changing climate regimes project that the agricul...
The way we produce food must adapt to a variable and changing climate. And key to achieving this is ...
Actual and upcoming climate changes will evidently have the largest impact on agriculture crops cult...
The tool was developed in 2020 and was made available to the Central America ministries of agricultu...
Together with the MasAgro initiative in Mexico, the data-driven agronomy team determined through the...
peer reviewed journal article on crop model improvement that is essential for foresight and targetin
The planning tool has already passed a preliminary test with US agricultural practitioners, and is i...
Demonstrated a method for prediction of seed performance under different conditions to inform risk/p...
Two statistical models were used to evaluate the seasonal forecasts: Canonical Correlation Analysis ...
peer-reviewed journal article demonstrating potential to increase land usage to address climate chan...
The NextGen system developed by ACToday is now operational in Guatemala and Colombia as a result of ...
10 farmer organizations in 6 counties in LAM now have fully dedicated agro-climatic prediction and c...
Amidst the rising issues of food security and climate change, the agricultural sector has started de...
Large-scale MasAgro program reaches up to 35,000 farmers with data-driven insights fed into “Agrotut...
Use of this method is still exploratory, and the paper explores different approaches that could be u...
Most business-as-usual scenarios for farming under changing climate regimes project that the agricul...
The way we produce food must adapt to a variable and changing climate. And key to achieving this is ...
Actual and upcoming climate changes will evidently have the largest impact on agriculture crops cult...
The tool was developed in 2020 and was made available to the Central America ministries of agricultu...
Together with the MasAgro initiative in Mexico, the data-driven agronomy team determined through the...
peer reviewed journal article on crop model improvement that is essential for foresight and targetin
The planning tool has already passed a preliminary test with US agricultural practitioners, and is i...
Demonstrated a method for prediction of seed performance under different conditions to inform risk/p...
Two statistical models were used to evaluate the seasonal forecasts: Canonical Correlation Analysis ...
peer-reviewed journal article demonstrating potential to increase land usage to address climate chan...
The NextGen system developed by ACToday is now operational in Guatemala and Colombia as a result of ...
10 farmer organizations in 6 counties in LAM now have fully dedicated agro-climatic prediction and c...
Amidst the rising issues of food security and climate change, the agricultural sector has started de...
Large-scale MasAgro program reaches up to 35,000 farmers with data-driven insights fed into “Agrotut...
Use of this method is still exploratory, and the paper explores different approaches that could be u...
Most business-as-usual scenarios for farming under changing climate regimes project that the agricul...
The way we produce food must adapt to a variable and changing climate. And key to achieving this is ...
Actual and upcoming climate changes will evidently have the largest impact on agriculture crops cult...