Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Machine learning applications for precision agriculture: A comprehensive review
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …
population, frequent changes in climatic conditions and limited resources, it becomes a …
A new methodology for reference evapotranspiration prediction and uncertainty analysis under climate change conditions based on machine learning, multi criteria …
M Kadkhodazadeh, M Valikhan Anaraki… - Sustainability, 2022 - mdpi.com
In the present study, a new methodology for reference evapotranspiration (ETo) prediction
and uncertainty analysis under climate change and COVID-19 post-pandemic recovery …
and uncertainty analysis under climate change and COVID-19 post-pandemic recovery …
Application of novel binary optimized machine learning models for monthly streamflow prediction
Accurate measurements of available water resources play a key role in achieving a
sustainable environment of a society. Precise river flow estimation is an essential task for …
sustainable environment of a society. Precise river flow estimation is an essential task for …
Combination of limited meteorological data for predicting reference crop evapotranspiration using artificial neural network method
Reference crop evapotranspiration (ETo) is an important component of the hydrological
cycle that is used for water resource planning, irrigation, and agricultural management, as …
cycle that is used for water resource planning, irrigation, and agricultural management, as …
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge …
Accurate ahead forecasting of reference evapotranspiration (ET o) is crucial for effective
irrigation scheduling and management of water resources on a regional scale. A variety of …
irrigation scheduling and management of water resources on a regional scale. A variety of …
Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review
Under changing climate and burgeoning food production demands, climate-smart
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …
agriculture (CSA) practices are the need of the hour. Physically-based crop models have …
Artificial neural networks for the prediction of the reference evapotranspiration of the Peloponnese Peninsula, Greece
S Dimitriadou, KG Nikolakopoulos - Water, 2022 - mdpi.com
The aim of the study was to investigate the utility of artificial neural networks (ANNs) for the
estimation of reference evapotranspiration (ETo) on the Peloponnese Peninsula in Greece …
estimation of reference evapotranspiration (ETo) on the Peloponnese Peninsula in Greece …
Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions
Evapotranspiration is an important quantity required in many applications, such as
hydrology and agricultural and irrigation planning. Reference evapotranspiration is …
hydrology and agricultural and irrigation planning. Reference evapotranspiration is …
Hybrid convolutional neural network-multilayer perceptron model for solar radiation prediction
Urgent transition from the dependence on fossil fuels towards renewable energies requires
more solar photovoltaic power to be connected to the electricity grids, with reliable supply …
more solar photovoltaic power to be connected to the electricity grids, with reliable supply …