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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
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
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...
Intelligent Sensing and Computing in Wireless Sensor Networks for Multiple Target Tracking
Intelligent Sensing Computing Wireless Sensor Networks Multiple Target Tracking
2023/11/20
With sixth generation (6G) communication technologies, target sensing can be finished in milliseconds. The mobile tracking-oriented Internet of Things (MTT-IoT) as a kind of emerging application netwo...
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
2023/6/5
Vegetation Cover Estimation Using Convolutional Neural Networks
CNN segmentation UAV vegetation cover estimation
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...
Plant Networks as Traits and Hypotheses: Moving Beyond Description
visualization eigengene network trait time course hypothesis causality
2024/2/29
Biology relies on the central thesis that the genes in an organism encode molecular mechanisms that combine with stimuli and raw materials from the environment to create a final phenotypic expression ...
Relationship between innovation and networks in chestnut value chain: A case study in Italy
Castanea sativa Miller social capital network analysis participatory value chain analysis Mugello-Val di Sieve
2018/3/6
In the last decades, the chestnut production has decreased in Italy due to diseases such as chestnut blight and chestnut
gall wasp, and progressive depopulation of mountainous areas. The aim of the p...
Tropical Forest Fragmentation Affects Floral Visitors but Not the Structure of Individual Based Palm-Pollinator Networks
Tropical Forest Fragmentation Visitors
2015/11/13
Deforestation is the major cause of fragmentation and spatial isolation of populations in the
tropics [1], with potential to increase species or population extinction rates [1,2]. Despite the
import...
Ipswich River Watershed - Planning and Designing Green Infrastructure Networks
Ipswich River Watershed Planning and Designing Green Infrastructure Networks
2014/11/19
This project focuses on the Ipswich River Watershed in the suburbanizing North Shore region of metropolitan Boston. The Ipswich River is one of the most threatened rivers in the United States due to i...
Assessing the potential of solar energy in pressurized irrigation networks. The case of Bembézar MI irrigation district (Spain)
water management renewable energy solar PV greenhouse gas emissions
2014/10/28
The high energy requirements and the rising costs highlight the need to reduce the energy dependence of the irrigation sector. Alternative management strategies have been developed to reduce the energ...
The University of Queensland examines the social networks of wild giraffes(图)
wild giraffes wild animals
2014/7/10
New research from The University of Queensland reinforces the value of network analysis and long-term studies for examining the social systems of wild animals.
The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey
Artificial neural network meteorological
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...
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
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 ...
k-anonymity based framework for privacy preserving data collection in wireless sensor networks
Anonymity Wireless Sensor Networks Data Privacy
2010/3/17
In this paper, k-anonymity notion is adopted to be used in wireless sensor networks (WSN) as a security framework with two levels of privacy. A base level of privacy is provided for the data shared wi...
The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey
Artificial neural network meteorological variables prediction soil temperature
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...