Application of hyperspectral remote sensing role in precision farming and sustainable agriculture under climate change: A review
CB Pande, KN Moharir - Climate Change Impacts on Natural Resources …, 2023 - Springer
Each year, scholars, agronomists, scientists, and engineers have implemented several
technologies to improve low-cost agricultural production, but this has detrimental …
technologies to improve low-cost agricultural production, but this has detrimental …
Forecasting of SPI and meteorological drought based on the artificial neural network and M5P model tree
Climate change has caused droughts to increase in frequency and severity worldwide,
which has attracted scientists to create drought prediction models to mitigate the impacts of …
which has attracted scientists to create drought prediction models to mitigate the impacts of …
Prediction of greenhouse tomato crop evapotranspiration using XGBoost machine learning model
Crop evapotranspiration estimation is a key parameter for achieving functional irrigation
systems. However, ET is difficult to directly measure, so an ideal solution was to develop a …
systems. However, ET is difficult to directly measure, so an ideal solution was to develop a …
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 …
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …
and mitigating the effects of climate change and land use dynamics. This study proposes a …
[HTML][HTML] Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions
D Muhammed, E Ahvar, S Ahvar, M Trocan… - Journal of Network and …, 2024 - Elsevier
Abstract The Artificial Intelligence of Things (AIoT), a combination of the Internet of Things
(IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture …
(IoT) and Artificial Intelligence (AI), plays an increasingly important role in smart agriculture …
Modeling daily reference evapotranspiration from climate variables: Assessment of bagging and boosting regression approaches
J TR, NVS Reddy, UD Acharya - Water Resources Management, 2023 - Springer
The increasing frequency of droughts and floods due to climate change has severely
affected water resources across the globe in recent years. An optimal design for the …
affected water resources across the globe in recent years. An optimal design for the …
Quantification of rainfall, temperature, and reference evapotranspiration trend and their interrelationship in sub-climatic zones of Bangladesh
Rainfall, temperature, and reference evapotranspiration (ET 0) have a significant influence
on irrigation, aridity, flooding, and crop water requirements. The primary aims of this study …
on irrigation, aridity, flooding, and crop water requirements. The primary aims of this study …
Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators
X Sun, B Zhang, M Dai, R Gao, C Jing, K Ma… - Frontiers in Plant …, 2024 - frontiersin.org
Background Accurate estimation of reference crop evapotranspiration (ET0) is crucial for
farmland hydrology, crop water requirements, and precision irrigation decisions. The …
farmland hydrology, crop water requirements, and precision irrigation decisions. The …
Revealing the trend and change point in Hargreaves equation based on potential evapotranspiration values with various statistical approaches
OM Katipoğlu - Environmental Science and Pollution Research, 2023 - Springer
Hotter and drier weather conditions due to climate change negatively affect water resources
and agricultural production. For this reason, it is vital to analyze the change in potential …
and agricultural production. For this reason, it is vital to analyze the change in potential …