Deep learning techniques to classify agricultural crops through UAV imagery: A review
During the last few years, Unmanned Aerial Vehicles (UAVs) technologies are widely used
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
to improve agriculture productivity while reducing drudgery, inspection time, and crop …
A systematic literature review on crop yield prediction with deep learning and remote sensing
Deep learning has emerged as a potential tool for crop yield prediction, allowing the model
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
to automatically extract features and learn from the datasets. Meanwhile, smart farming …
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 …
Improving wheat yield prediction integrating proximal sensing and weather data with machine learning
Accurate and timely wheat yield prediction is of great importance to global food security.
Early prediction of wheat yield at a field scale is essential for site-specific precision …
Early prediction of wheat yield at a field scale is essential for site-specific precision …
[HTML][HTML] Field-level crop yield estimation with PRISMA and Sentinel-2
Satellite image data deliver consistent and frequent information for crop yield estimation
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …
Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning
Timely and accurately estimating smallholder crop yield is essential for optimizing
agronomic management, guiding investment and policy-making to reduce poverty and …
agronomic management, guiding investment and policy-making to reduce poverty and …