Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
A systematic review of local to regional yield forecasting approaches and frequently used data resources
B Schauberger, J Jägermeyr, C Gornott - European Journal of Agronomy, 2020 - Elsevier
Forecasting crop yields, or providing an expectation of ex-ante harvest amounts, is highly
relevant to the whole agricultural production chain. Farmers can adapt their management …
relevant to the whole agricultural production chain. Farmers can adapt their management …
An end-to-end model for rice yield prediction using deep learning fusion
Z Chu, J Yu - Computers and Electronics in Agriculture, 2020 - Elsevier
Rice yield is essential for more than half of the world's population, and thus, accurate
predictions of rice yield are of great importance for trade, development policies …
predictions of rice yield are of great importance for trade, development policies …
Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and CMIP6
Due to rapid population growth and the limitation of land resources, the sustainability of
agricultural ecosystems has attracted more attention all over the world. Human activities will …
agricultural ecosystems has attracted more attention all over the world. Human activities will …
Solar fertigation: A sustainable and smart IoT-based irrigation and fertilization system for efficient water and nutrient management
The agricultural sector is one of the major users of water resources. Water is an important
asset that needs to be preserved using the latest available technologies. Modern …
asset that needs to be preserved using the latest available technologies. Modern …
Dynamic within-season irrigation scheduling for maize production in Northwest China: A Method Based on Weather Data Fusion and yield prediction by DSSAT
Current water consumptions are unsustainable in many regions, which requiring more
efficient agricultural water management strategies. This study incorporated the DSSAT …
efficient agricultural water management strategies. This study incorporated the DSSAT …
How does inclusion of weather forecasting impact in-season crop model predictions?
Accurately forecasting crop yield in advance of harvest could greatly benefit decision makers
when making management decisions. However, few evaluations have been conducted to …
when making management decisions. However, few evaluations have been conducted to …
Using daily data from seasonal forecasts in dynamic crop models for yield prediction: A case study for rice in Nepal's Terai
Skillful seasonal climate predictions paired with a dynamic crop model can assist
agricultural management and help farmers minimize risk. For crop yield predictions, the skill …
agricultural management and help farmers minimize risk. For crop yield predictions, the skill …
[HTML][HTML] Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield
Crop models fed by seasonal forecasts to deliver yield forecasts are becoming a valuable
tool to tackle food production shocks and food price spikes triggered by climate change and …
tool to tackle food production shocks and food price spikes triggered by climate change and …
Coupling proximal sensing, seasonal forecasts and crop modelling to optimize nitrogen variable rate application in durum wheat
Nitrogen (N) fertilization in durum wheat has traditionally been managed based on yield
goals without considering temporal and spatial variability of yield potential related to …
goals without considering temporal and spatial variability of yield potential related to …