Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Background Above-ground biomass (AGB) is a basic agronomic parameter for field
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
investigation and is frequently used to indicate crop growth status, the effects of agricultural …
[HTML][HTML] Soil organic carbon and texture retrieving and map** using proximal, airborne and Sentinel-2 spectral imaging
Abstract Soil Organic Carbon (SOC) is a useful representative of soil fertility and an essential
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
[HTML][HTML] Corn grain yield estimation from vegetation indices, canopy cover, plant density, and a neural network using multispectral and RGB images acquired with …
Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …
plant density, available water, nutrients, and planting date; these are the main factors that …
[HTML][HTML] Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada
ER DeLancey, JF Simms, M Mahdianpari, B Brisco… - Remote Sensing, 2019 - mdpi.com
Advances in machine learning have changed many fields of study and it has also drawn
attention in a variety of remote sensing applications. In particular, deep convolutional neural …
attention in a variety of remote sensing applications. In particular, deep convolutional neural …
Individual tree crown segmentation and classification of 13 tree species using airborne hyperspectral data
Knowledge of the distribution of tree species within a forest is key for multiple economic and
ecological applications. This information is traditionally acquired through time-consuming …
ecological applications. This information is traditionally acquired through time-consuming …
[HTML][HTML] Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen
Flooding is one of the catastrophic natural hazards worldwide that can easily cause
devastating effects on human life and property. Remote sensing devices are becoming …
devastating effects on human life and property. Remote sensing devices are becoming …
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 …
[HTML][HTML] Map** forest fire risk—a case study in Galicia (Spain)
The optimization of forest management in roadsides is a necessary task in terms of wildfire
prevention in order to mitigate their effects. Forest fire risk assessment identifies high-risk …
prevention in order to mitigate their effects. Forest fire risk assessment identifies high-risk …
[HTML][HTML] Map** and monitoring of biomass and grazing in pasture with an unmanned aerial system
The tools available to farmers to manage grazed pastures and adjust forage demand to
grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting …
grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting …
Map** terrestrial oil spill impact using machine learning random forest and Landsat 8 OLI imagery: A case site within the Niger Delta region of Nigeria
Terrestrial oil pollution is one of the major causes of ecological damage within the Niger
Delta region of Nigeria and has caused a considerable loss of mangroves and arable …
Delta region of Nigeria and has caused a considerable loss of mangroves and arable …