LoRa communications as an enabler for internet of drones towards large-scale livestock monitoring in rural farms
Currently, smart farming is considered an effective solution to enhance the productivity of
farms; thereby, it has recently received broad interest from service providers to offer a wide …
farms; thereby, it has recently received broad interest from service providers to offer a wide …
Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned …
Climatic variability and extreme weather events impact agricultural production, especially in
sub-Saharan smallholder crop** systems, which are commonly rainfed. Hence, the …
sub-Saharan smallholder crop** systems, which are commonly rainfed. Hence, the …
UAV-based multispectral image analytics for generating crop coefficient maps for rice
Crop coefficients are important to determine crop evapotranspiration (ETc), seasonal crop
water requirement, and irrigation water depth. Similarities between the curve of crop …
water requirement, and irrigation water depth. Similarities between the curve of crop …
[HTML][HTML] UAV-enabled approaches for irrigation scheduling and water body characterization
In recent years, precision agriculture has seen a substantial increase in the use of
unmanned aerial vehicles (UAVs). They have shown great potential in spraying, nutrient …
unmanned aerial vehicles (UAVs). They have shown great potential in spraying, nutrient …
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 …
Unmanned air vehicle based high resolution imagery for chlorophyll estimation using spectrally modified vegetation indices in vertical hierarchy of citrus grove
Chlorophyll is a significant indicator of plant vigor and plant health which enables to
estimate final crop yield. Current experiment was conducted to acquire high resolution …
estimate final crop yield. Current experiment was conducted to acquire high resolution …
Estimating actual crop evapotranspiration using deep stochastic configuration networks model and UAV-based crop coefficients in a pomegranate orchard
Evapotranspiration (ET) estimation is important agricultural research in many regions
because of the water scarcity, growing population, and climate change. ET can be analyzed …
because of the water scarcity, growing population, and climate change. ET can be analyzed …
A machine learning method to estimate reference evapotranspiration using soil moisture sensors
A Fernández-López, D Marín-Sánchez… - Applied Sciences, 2020 - mdpi.com
Featured Application The proposed approach for estimating reference evapotranspiration
allows obtaining accurate approximations of this important crop parameter in an inexpensive …
allows obtaining accurate approximations of this important crop parameter in an inexpensive …
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 …