Towards smart irrigation: A literature review on the use of geospatial technologies and machine learning in the management of water resources in arboriculture
Agriculture consumes an important ratio of the water reserve in irrigated areas. The
improvement of irrigation is becoming essential to reduce this high water consumption by …
improvement of irrigation is becoming essential to reduce this high water consumption by …
Evapotranspiration estimation with small UAVs in precision agriculture
Estimating evapotranspiration (ET) has been one of the most critical research areas in
agriculture because of water scarcity, the growing population, and climate change. The …
agriculture because of water scarcity, the growing population, and climate change. The …
[HTML][HTML] Crop water stress detection based on UAV remote sensing systems
H Dong, J Dong, S Sun, T Bai, D Zhao, Y Yin… - Agricultural Water …, 2024 - Elsevier
Agricultural water accounts for more than 70% of the total global water usage, and the
scarcity of global freshwater resources will largely limit global agricultural production …
scarcity of global freshwater resources will largely limit global agricultural production …
Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery
Soil organic carbon (SOC) is a variable of vital environmental significance in terms of soil
quality and function, global food security, and climate change mitigation. Estimation of its …
quality and function, global food security, and climate change mitigation. Estimation of its …
Drlic: Deep reinforcement learning for irrigation control
Agricultural irrigation is a major consumer of freshwater. Current irrigation systems used in
the field are not efficient, since they are mainly based on soil moisture sensors' …
the field are not efficient, since they are mainly based on soil moisture sensors' …
Estimation of grapevine crop coefficient using a multispectral camera on an unmanned aerial vehicle
Crop water status and irrigation requirements are of great importance to the horticultural
industry due to changing climatic conditions leading to high evaporative demands, drought …
industry due to changing climatic conditions leading to high evaporative demands, drought …
Optimizing irrigation efficiency using deep reinforcement learning in the field
Agricultural irrigation is a significant contributor to freshwater consumption. However, the
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …
current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …
Why do big data and machine learning entail the fractional dynamics?
Fractional-order calculus is about the differentiation and integration of non-integer orders.
Fractional calculus (FC) is based on fractional-order thinking (FOT) and has been shown to …
Fractional calculus (FC) is based on fractional-order thinking (FOT) and has been shown to …
Estimating crop coefficients using linear and deep stochastic configuration networks models and UAV-based normalized difference vegetation index (NDVI)
Crop coefficient (K c) methods have been commonly used for evapotranspiration estimation.
Researchers estimate K c as a function of the vegetation index because of similarities …
Researchers estimate K c as a function of the vegetation index because of similarities …
Reliable tree-level evapotranspiration estimation of pomegranate trees using lysimeter and UAV multispectral imagery
The accurate estimation and map** of evapotranspiration (ET) are essential for crop water
management. As one of the traditional ET estimation methods, crop coefficient (Kc) has been …
management. As one of the traditional ET estimation methods, crop coefficient (Kc) has been …