A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …
growth of food production to meet the needs of the growing population. However, the limited …
A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Uniting remote sensing, crop modelling and economics for agricultural risk management
The increasing availability of satellite data at higher spatial, temporal and spectral
resolutions is enabling new applications in agriculture and economic development …
resolutions is enabling new applications in agriculture and economic development …
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 …
An automated rice map** method based on flooding signals in synthetic aperture radar time series
P Zhan, W Zhu, N Li - Remote Sensing of Environment, 2021 - Elsevier
Paddy rice is one of the most important staple foods in the world, feeding over 50% of the
global population. A quick and accurate map** of the extent of paddy rice is of critical …
global population. A quick and accurate map** of the extent of paddy rice is of critical …
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco
Accurate seasonal forecasting of cereal yields is an important decision support tool for
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
countries, such as Morocco, that are not self-sufficient in order to predict, as early as …
[HTML][HTML] Yield forecasting with machine learning and small data: What gains for grains?
Forecasting crop yields is important for food security, in particular to predict where crop
production is likely to drop. Climate records and remotely-sensed data have become …
production is likely to drop. Climate records and remotely-sensed data have become …
Remote sensing and machine learning in crop phenoty** and management, with an emphasis on applications in strawberry farming
Measurement of plant characteristics is still the primary bottleneck in both plant breeding
and crop management. Rapid and accurate acquisition of information about large plant …
and crop management. Rapid and accurate acquisition of information about large plant …
[HTML][HTML] Improving crop yield estimation by applying higher resolution satellite NDVI imagery and high-resolution cropland masks
M Roznik, M Boyd, L Porth - Remote Sensing Applications: Society and …, 2022 - Elsevier
This research contributes to the literature by investigating if and by how much higher
resolution satellite imagery improves crop yield estimation accuracy at the county level when …
resolution satellite imagery improves crop yield estimation accuracy at the county level when …
Comparing Sentinel-1 and-2 data and indices for agricultural land use monitoring
AK Holtgrave, N Röder, A Ackermann, S Erasmi… - Remote Sensing, 2020 - mdpi.com
Agricultural vegetation development and harvest date monitoring over large areas requires
frequent remote sensing observations. In regions with persistent cloud coverage during the …
frequent remote sensing observations. In regions with persistent cloud coverage during the …