[HTML][HTML] Unmanned aerial vehicles in agriculture: A survey
The number of tasks that nowadays are accomplished by using unmanned aerial vehicles is
rising across many civil applications, including agriculture. Thus, this work aims at providing …
rising across many civil applications, including agriculture. Thus, this work aims at providing …
Resources for image-based high-throughput phenoty** in crops and data sharing challenges
High-throughput phenoty** (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
[HTML][HTML] Technical challenges for multi-temporal and multi-sensor image processing surveyed by UAV for map** and monitoring in precision agriculture
Precision Agriculture (PA) is an approach to maximizing crop productivity in a sustainable
manner. PA requires up-to-date, accurate and georeferenced information on crops, which …
manner. PA requires up-to-date, accurate and georeferenced information on crops, which …
[HTML][HTML] Quantifying the effects of drought using the crop moisture stress as an indicator of maize and sunflower yield reduction in Serbia
The drought in Serbia in the summer of 2017 heavily affected agricultural production,
decreasing yields of maize, sunflower, soybean, and sugar beet. Monitoring moisture levels …
decreasing yields of maize, sunflower, soybean, and sugar beet. Monitoring moisture levels …
[HTML][HTML] Comparison of accuracy of surface temperature images from unmanned aerial vehicle and satellite for precise thermal environment monitoring of urban parks …
Rapid urbanization has led to several severe environmental problems, including so-called
heat island effects, which can be mitigated by creating more urban green spaces. However …
heat island effects, which can be mitigated by creating more urban green spaces. However …
A systematic review on the application of UAV-based thermal remote sensing for assessing and monitoring crop water status in crop farming systems
The accurate assessment and monitoring of crop water status is a critical component of
precision agriculture. Over the recent decade, unmanned aerial vehicles (UAVs) integrated …
precision agriculture. Over the recent decade, unmanned aerial vehicles (UAVs) integrated …
Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data
With rapid population growth and the high influence of climate change on agricultural
productivity, providing enough food is the main challenge in the 21st century. Irrigation, as a …
productivity, providing enough food is the main challenge in the 21st century. Irrigation, as a …
Fragmentation of data packets in wireless sensor network with variable temperature and channel conditions
V Fedorenko, I Samoylenko, V Samoylenko - Computer Communications, 2024 - Elsevier
This study formalizes and solves the problem of minimizing the energy dissipated by a node
in order to successfully transmit the initial data amount during one round of communication …
in order to successfully transmit the initial data amount during one round of communication …
Machine and deep learning: Artificial intelligence application in biotic and abiotic stress management in plants
Biotic and abiotic stresses significantly affect plant fitness, resulting in a serious loss in food
production. Biotic and abiotic stresses predominantly affect metabolite biosynthesis, gene …
production. Biotic and abiotic stresses predominantly affect metabolite biosynthesis, gene …
Estimation of Intercepted Solar Radiation and Stem Water Potential in a Table Grape Vineyard Covered by Plastic Film Using Sentinel-2 Data: A Comparison of OLS …
In the framework of precision viticulture, satellite data have been demonstrated to
significantly support many tasks. Specifically, they enable the rapid, large-scale estimation of …
significantly support many tasks. Specifically, they enable the rapid, large-scale estimation of …