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An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing
Peanut is a significant oilseed crop that is often affected by peanut southern blight, a disease that greatly reduces crop yield and quality....
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Remote sensing of rice phenology and physiology via absorption coefficient derived from unmanned aerial vehicle imaging
Rice ( Oryza sativa L.) is the most important staple crop feeding more than half of the world’s population. Extensive effort currently undertaken to...
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Estimation of cotton canopy parameters based on unmanned aerial vehicle (UAV) oblique photography
BackgroundThe technology of cotton defoliation is essential for mechanical cotton harvesting. Agricultural unmanned aerial vehicle (UAV) spraying has...
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Using a low-cost unmanned aerial vehicle for map** giant smutgrass in bahiagrass pastures
Grasses within the Sporobolus genus have been classified as problematic weeds of pastures in many countries. In Florida, giant smutgrass is the most...
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Use of Unmanned Aerial Vehicle in Sugarcane Cultivation in Brazil: A Review
The use of Unmanned Aerial Vehicles (UAVs) is becoming increasingly popular and present in various activities around the world, as an important...
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Operator’s Spatial Orientation Ability during Remote Control of Unmanned Aerial Vehicles in Virtual Reality Environments
AbstractFunctioning of remotely-piloted (RP) Unmanned Aerial Vehicle (UAV) in extreme, poorly structured environments often calls for immediate...
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Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning
Accurately and economically estimated crop above-ground biomass (AGB) and bean yield (BY) are critical for cultivation management in precision...
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Wheat leaf area index prediction using data fusion based on high-resolution unmanned aerial vehicle imagery
BackgroundLeaf Area Index (LAI) is half of the amount of leaf area per unit horizontal ground surface area. Consequently, accurate vegetation...
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Estimation of the economic impacts and operational limitations imposed on unmanned aerial systems by poor sky conditions
Cloudy skies reduce image quality obtained from unmanned aerial vehicles (UAV) due to variable lighting conditions imposed on the surface. This study...
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Small Unmanned Aerial Vehicles (UAVs) and Remote Sensing Payloads
This chapter navigates the realm of small Unmanned Aerial Vehicles (UAVs) and their integral role in remote sensing applications, focusing on the...
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Efficacy evaluation of low-volume concentrate application of pesticides by unmanned aerial vehicle (UAV) using an indoor spraying device
To optimize operating conditions and the selection of pesticides suitable for spraying from UAVs, we evaluated the coverage of sprayed droplets in...
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Unmanned aerial vehicle to evaluate frost damage in coffee plants
Damage caused by frost on coffee plants can impact significantly in the reduction of crop quality and productivity. Remote sensing can be used to...
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Unmanned Aerial Vehicle (UAV) Applications in Cotton Production
Cotton (Gossypium hirsutum L.) is an important cash crop and primary materials for clothing, fine paper, animal feed, and oil industries. Cotton...
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Applied Unmanned Aerial Vehicle Technologies: Opportunities and Constraints
Unmanned Aerial Vehicles (UAVs) are a series of smart products in modern industries. Agricultural UAVs have been developed and are now commonly used...
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Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data
To obtain accurate spatially continuous reflectance from Unmanned Aerial Vehicle (UAV) remote sensing, UAV data needs to be integrated with the data...
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Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery
BackgroundThe objective of this study is twofold. First, ascertain the important variables that predict tomato yields from plant height (PH) and...
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Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery
Precision nitrogen fertilizer application depends on accurate estimation of plant nitrogen content. However, the assessment of plant nitrogen content...
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Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing
BackgroundFractional vegetation cover (FVC) is an important parameter for evaluating crop-growth status. Optical remote-sensing techniques combined...
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Detection of organic tea farms based on the density of spider webs using aerial photography with an unmanned aerial vehicle (UAV)
Organic tea farms promote biodiversity and perform important ecological functions that benefit the environment and supply safe and secure products to...
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Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation
BackgroundCurrent automated forest investigation is facing a dilemma over how to achieve high tree- and plot-level completeness while maintaining a...
