Smart farming in Europe
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …
techniques to innovative solutions based on Information Communication Technologies …
Seasonal crop yield forecast: Methods, applications, and accuracies
The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …
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 …
Forecasting corn yield with machine learning ensembles
The emergence of new technologies to synthesize and analyze big data with high-
performance computing has increased our capacity to more accurately predict crop yields …
performance computing has increased our capacity to more accurately predict crop yields …
Rice crop detection using LSTM, Bi-LSTM, and machine learning models from Sentinel-1 time series
H Crisóstomo de Castro Filho… - Remote Sensing, 2020 - mdpi.com
The Synthetic Aperture Radar (SAR) time series allows describing the rice phenological
cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel …
cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel …
“sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data
Abstract sen2r is a scalable and flexible R package to enable downloading and
preprocessing of Sentinel-2 satellite imagery via an accessible and easy to install interface …
preprocessing of Sentinel-2 satellite imagery via an accessible and easy to install interface …
Estimating rice production in the Mekong Delta, Vietnam, utilizing time series of Sentinel-1 SAR data
Rice is the most important food crop in Asia and rice exports can significantly contribute to a
country's GDP. Vietnam is the third largest exporter and fifth largest producer of rice, the …
country's GDP. Vietnam is the third largest exporter and fifth largest producer of rice, the …
Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data
Sentinel-1A synthetic aperture radar (SAR) data present an opportunity for acquiring crop
information without restrictions caused by weather and illumination conditions, at a spatial …
information without restrictions caused by weather and illumination conditions, at a spatial …
Corn yield prediction with ensemble CNN-DNN
We investigate the predictive performance of two novel CNN-DNN machine learning
ensemble models in predicting county-level corn yields across the US Corn Belt (12 states) …
ensemble models in predicting county-level corn yields across the US Corn Belt (12 states) …
Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease
In recent years, some official reports, to produce best products regarding quality, quantity
and economic conditions, recommend that the farming sector should benefit with new tools …
and economic conditions, recommend that the farming sector should benefit with new tools …