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Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks (CNN) deep learning invasive species orthophoto remote sensing tree species Unmanned Aerial Vehicles (UAV) vegetation succession
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2024/1/19
Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteri...
Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series
Synthetic Aperture Radar Sentinel-1 forest mapping deforestation monitoring deep learning convolutional neural networks
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2023/12/1
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight deforestation in the Amazon and study its relation to climate change effects with respect to anthropogenic ac...
Comparison of partial least squares-discriminant analysis, support vector machines and deep neural networks for spectrometric classification of seed vigour in a broad range of tree species
least squares-discriminant analysis spectrometric classification seed tree species
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2023/6/5
Seed vigour significantly influences the seed production and plant regeneration performance. The capability of NIR spectroscopy to identify seed vigour across multiple tree species rapidly and cost-ef...
Vegetation Cover Estimation Using Convolutional Neural Networks
CNN segmentation UAV vegetation cover estimation
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2024/2/4
Vegetation is an important parameter in all bio- and ecosystems, and it should be monitored to conserve and restore the environment. This paper presents a design and implementation of a compact system...
Predicting the earthwork width and determining the annual growth loss due to forest road construction using artificial neural network and ArcGIS
area of road earthwork hillside slope roadside rock share
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2016/8/2
The area of forest destruction as well as the annual growth loss due to road construction before constructing a road was predicted. To do this, road cross sections of 88 points along the 10 km propose...
LAND USE/LAND COVER MAPPING IN BRAZILIAN AMAZON USING NEURAL NETWORK WITH ASTER/TERRA DATA
Forestry Land cover Land use Monitoring Networks Neural ART2 Mapping
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2015/7/29
The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey
Artificial neural network meteorological
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2011/6/29
The objective of this paper was to develop an artificial neural network (ANN) model in order to predict monthly mean soil temperature for the present month by using various previous monthly mean meteo...
Assessment of machinery energy ratio in potato production by means of Artificial Neural Network
Potato agricultural mechanization machinery energy ratio Artificial Neural Network
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2011/1/11
A single hidden layer Artificial Neural Network (ANN) model was developed to estimate a machinery energy ratio (MER) indicator, used to characterize and assess mechanization status of potato farms in ...
The use of artificial intelligence (artificial neural networks) to classify the biochemical reactions of Escherichia coli isolates from broilers
Escherichia coli biochemical reactions artificial neural network
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2010/9/21
The Escherichia coli is often found in the poultry industry and, many times, its presence in the organism of the animals and/or contaminating the litter of poultry houses don’t cause surprise. On the ...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
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2010/3/17
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey
Artificial neural network meteorological variables prediction soil temperature
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2011/3/22
The objective of this paper was to develop an artificial neural network (ANN) model in order to predict monthly mean soil temperature for the present month by using various previous monthly mean meteo...
Modeling the terminal velocity of agricultural seeds with artificial neural networks
Artificial neural networks terminal velocity prediction back-propagation.
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2011/1/10
Terminal velocity (TV) is one of the important aerodynamic properties of materials, including seeds of agricultural crops that are necessary to design of pneumatic conveying systems, fluidized bed dry...
Modelling of Osmotic Dehydration of Mango (Mangifera Indica) by Recurrent Artificial Neural Network and Experimental Design
Osmotic dehydration recurrent artificial neural network mango water loss full factorial
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2010/11/15
Osmotic dehydration process was investigated in this paper. Mango slices samples were
osmotically dehydrated in different hypertonic solutions of glucose and sucrose at three different temperatures (...
Confocal Laser Scanning Microscopy on the Distribution of Neural Nitric Oxide Synthase (nNOS)-immunoreactive Nerves in the Chicken Harderian Gland
chicken confocal laser scanning microscope Harderian gland immunohistochemistry nNOS
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2009/7/31
Nitrergic innervation of the chicken Harderian gland was investigated by using immunohistochemistry for neural nitric oxide synthase (nNOS) and a confocal laser scanning microscope. Immunoreactivity f...
Comparing Neural Networks, Linear and Nonlinear Regression
Artificial neural networks bulk density cone index regression models water content
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2009/1/8
Penetration resistance (PR) is an important property of soils, and can be expressed as cone index (CI). Because of high variability, there are no accurate and representative PR data in most cases. Va...