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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 …
Remote sensing in agriculture—accomplishments, limitations, and opportunities
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …
warning system, allowing the agricultural community to intervene early on to counter …
[PDF][PDF] Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches
The art of predicting crop production is done before the crop is harvested. Crop output
forecasts will help people make timely judgments concerning food policy, prices in markets …
forecasts will help people make timely judgments concerning food policy, prices in markets …
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 CNN-RNN framework for crop yield prediction
Crop yield prediction is extremely challenging due to its dependence on multiple factors
such as crop genotype, environmental factors, management practices, and their interactions …
such as crop genotype, environmental factors, management practices, and their interactions …
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Rapid and accurate biomass and yield estimation facilitates efficient plant phenoty** and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
[HTML][HTML] A cloud detection algorithm for satellite imagery based on deep learning
Reliable detection of clouds is a critical pre-processing step in optical satellite based remote
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
[HTML][HTML] An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China
H Tian, P Wang, K Tansey, J Zhang, S Zhang… - Agricultural and Forest …, 2021 - Elsevier
Crop growth condition and production play an important role in food management and
economic development. Therefore, estimating yield accurately and timely is of vital …
economic development. Therefore, estimating yield accurately and timely is of vital …
[HTML][HTML] Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018
Drought is one of the most complex and harmful natural disasters. A study on the temporal
and spatial patterns and the evolution of drought can provide a scientific basis for predicting …
and spatial patterns and the evolution of drought can provide a scientific basis for predicting …