Ecological Informatics

Papers
(The TQCC of Ecological Informatics is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Plant leaf disease classification using EfficientNet deep learning model372
BirdNET: A deep learning solution for avian diversity monitoring194
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants188
Fish detection and species classification in underwater environments using deep learning with temporal information132
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images118
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications103
Data augmentation approaches for improving animal audio classification89
“How many images do I need?” Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring87
A biological image classification method based on improved CNN79
A novel CNN-LSTM-based approach to predict urban expansion75
Insect pest image detection and recognition based on bio-inspired methods73
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network73
An evaluation of feature selection methods for environmental data71
Identification of disease using deep learning and evaluation of bacteriosis in peach leaf61
Analysis on change detection techniques for remote sensing applications: A review59
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region58
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant58
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review58
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection57
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey57
Energy consumption and environmental degradation nexus: A systematic review and meta-analysis of fossil fuel and renewable energy consumption56
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India54
Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model53
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm53
Spatial correlation evolution and prediction scenario of land use carbon emissions in China52
A review of drought monitoring with big data: Issues, methods, challenges and research directions51
Individual tree crown delineation from high-resolution UAV images in broadleaf forest49
A critical review on water quality index tool: Genesis, evolution and future directions48
High performing ensemble of convolutional neural networks for insect pest image detection46
Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China46
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata44
Effects of sample size and network depth on a deep learning approach to species distribution modeling44
A deep learning ensemble model for wildfire susceptibility mapping42
Spatial differentiation of traditional villages using ArcGIS and GeoDa: A case study of Southwest China41
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review40
Improved deep learning framework for fish segmentation in underwater videos40
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images37
Identifying and classifying plant disease using resilient LF-CNN37
Impact of LUCC on landscape pattern in the Yangtze River Basin during 2001–201937
A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images36
From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing36
Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation36
Deep learning based drought assessment and prediction framework35
Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile35
Application of virtual reality teaching method and artificial intelligence technology in digital media art creation35
Research on landscape design system based on 3D virtual reality and image processing technology35
Identification of animals and recognition of their actions in wildlife videos using deep learning techniques34
Review of machine learning techniques for mosquito control in urban environments34
BLeafNet: A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification33
Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants32
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment32
Bioclimatic variables from precipitation and temperature records vs. remote sensing-based bioclimatic variables: Which side can perform better in species distribution modeling?32
Detection and classification of marine mammal sounds using AlexNet with transfer learning32
Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model32
Urban green and blue space changes: A spatiotemporal evaluation of impacts on ecosystem service value in Bangladesh32
A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas31
Evolution of research on circular economy and related trends and topics. A thirteen-year review31
Naïve Bayes ensemble models for groundwater potential mapping31
3D-CNN based UAV hyperspectral imagery for grassland degradation indicator ground object classification research30
Watershed prioritization using morphometric analysis by MCDM approaches30
LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease30
Pollution characteristics and risk assessment of heavy metals in the soil of a construction waste landfill site30
Amazon forest cover change mapping based on semantic segmentation by U-Nets29
Development of new Ecological Susceptibility Index (ESI) for monitoring ecological risk of river corridor using F-AHP and AHP and its application on the Mayurakshi river of Eastern India29
Using phylogenetic information to impute missing functional trait values in ecological databases29
Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm29
Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia29
Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau29
A novel classifier for improving wetland mapping by integrating image fusion techniques and ensemble machine learning classifiers28
Spatiotemporal variation in vegetation coverage and its driving factors in the Guanzhong Basin, NW China27
GIS-based spatial prediction of recreational trail susceptibility in protected area of Sikkim Himalaya using logistic regression, decision tree and random forest model27
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods27
Modeling the response of negative air ions to environmental factors using multiple linear regression and random forest27
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model27
Groundwater suitability assessment based on water quality index and hydrochemical characterization of Suri Sadar Sub-division, West Bengal27
Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms27
Projected shifts in the distribution range of Asiatic black bear (Ursus thibetanus) in the Hindu Kush Himalaya due to climate change26
Effects of street orientation and tree species thermal comfort within urban canyons in a hot, dry climate26
Comparative analysis between AHP and ANP in prioritization of ecosystem services - A case study in a rice field area raised in the Guadalquivir marshes (Spain)25
Deep transfer learning model for disease identification in wheat crop25
A comparison of supervised machine learning algorithms for mosquito identification from backscattered optical signals25
An empirical analysis of tourism eco-efficiency in ecological protection priority areas based on the DPSIR-SBM model: A case study of the Yellow River Basin, China25
Spatiotemporal evolutions and driving factors of green development performance of cities in the Yangtze River Economic Belt25
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms25
Eff-UNet++: A novel architecture for plant leaf segmentation and counting25
Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks24
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system24
Combined role of economic openness, financial deepening, biological capacity, and human capital in achieving ecological sustainability24
Application of machine learning approaches for land cover monitoring in northern Cameroon24
Automatic underwater fish species classification with limited data using few-shot learning23
A method for automatic real-time detection and counting of fruit fly pests in orchards by trap bottles via convolutional neural network with attention mechanism added23
Application of Google earth engine python API and NAIP imagery for land use and land cover classification: A case study in Florida, USA23
Spatial relationships between NDVI and topographic factors at multiple scales in a watershed of the Minjiang River, China23
POLLEN73S: An image dataset for pollen grains classification23
Modelling the susceptibility of wetland plant species under climate change in the Mekong Delta, Vietnam23
On loss functions and CNNs for improved bioacoustic signal classification23
Evolutionary overview of water resource management (1990–2019) based on a bibliometric analysis in Web of Science23
Identifying the contradiction between the cultivated land fragmentation and the construction land expansion from the perspective of urban-rural differences22
Exploring the development of scientific research on Marine Protected Areas: From conservation to global ocean sustainability22
Assessing the impacts of meteorological factors on soybean production in China: What role can agricultural subsidy play?22
A novel deep learning method for maize disease identification based on small sample-size and complex background datasets22
A quantitative detection algorithm based on improved faster R-CNN for marine benthos22
Monitoring and driving force analysis of spatial and temporal change of water area of Hongjiannao Lake from 1973 to 201922
Towards an integrated forest fire danger assessment system for the European Alps22
Quantitative assessment of the importance of bio-physical drivers of land cover change based on a random forest method22
Acoustic detection of regionally rare bird species through deep convolutional neural networks21
Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series21
A novel method based on time series satellite data analysis to detect algal blooms21
A reporting format for leaf-level gas exchange data and metadata21
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks21
Forecasting the effects of bioclimatic characteristics and climate change on the potential distribution of Colophospermum mopane in southern Africa using Maximum Entropy (Maxent)21
Semantic segmentation of seagrass habitat from drone imagery based on deep learning: A comparative study21
Passive acoustic monitoring of animal populations with transfer learning21
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation21
Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms20
How do transportation-based environmental taxation and globalization contribute to ecological sustainability?20
Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003–201820
RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions20
Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming20
Modeling potential hotspots of invasive Prosopis juliflora (Swartz) DC in India20
Monitoring landscape fragmentation and aboveground biomass estimation in Can Gio Mangrove Biosphere Reserve over the past 20 years20
Modeling alterations in flow regimes under changing climate in a Mediterranean watershed: An analysis of ecologically-relevant hydrological indicators20
Change in cereal production caused by climate change in Malaysia20
Naive Bayesian fusion based deep learning networks for multisegmented classification of fishes in aquaculture industries19
Enhanced radial basis function neural network for tomato plant disease leaf image segmentation19
Vegetation recovery and recent degradation in different karst landforms of southwest China over the past two decades using GEE satellite archives19
Deep learning-based multi-task prediction system for plant disease and species detection19
An improved real-time water quality monitoring embedded system with IoT on unmanned surface vehicle19
Dealing with clustered samples for assessing map accuracy by cross-validation19
Land degradation risk dynamics assessment in red and lateritic zones of eastern plateau, India: A combine approach of K-fold CV, data mining and field validation19
Underwater object detection based on bi-dimensional empirical mode decomposition and Gaussian Mixture Model approach18
Spatio–temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments18
Vegetation responses to variations in climate: A combined ordinary differential equation and sequential Monte Carlo estimation approach18
Recognition and counting of typical apple pests based on deep learning18
Study on the temporal and spatial distribution of chlorophyll a in Erhai Lake based on multispectral data from environmental satellites18
Remote sensing-derived land surface temperature trends over South Asia18
New image dataset and new negative sample judgment method for crop pest recognition based on deep learning models18
RolWinMulCor: An R package for estimating rolling window multiple correlation in ecological time series18
Temporal and spatial differentiation in the surface recovery of post-seismic landslides in Wenchuan earthquake-affected areas18
An intelligent and cost-effective remote underwater video device for fish size monitoring18
Deep learning for supervised classification of temporal data in ecology18
Data-driven analysis of global research trends in bioacoustics and ecoacoustics from 1991 to 201818
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images17
Ethogram-based automatic wild animal monitoring through inertial sensors and GPS data17
Sweet potato leaf detection in a natural scene based on faster R-CNN with a visual attention mechanism and DIoU-NMS17
Automatic strawberry leaf scorch severity estimation via faster R-CNN and few-shot learning17
Based investigate of beehive sound to detect air pollutants by machine learning17
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia17
Detecting outliers in a univariate time series dataset using unsupervised combined statistical methods: A case study on surface water temperature17
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms17
Spatial and temporal population change in the Tehran Metropolitan Region and its consequences on urban decline and sprawl17
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network17
A fuzzy rule-based model to assess the effects of global warming, pollution and harvesting on the production of Hilsa fishes17
Identifying wildlife observations on twitter17
A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale17
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries17
Exploring the forms of wetland modifications and investigating the causes in lower Atreyee river floodplain area17
Adaptive linear feature-reuse network for rapid forest fire smoke detection model17
Aggregation as an antipredator strategy in the rock-paper-scissors model16
Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland16
Evaluation of water quality based on UAV images and the IMP-MPP algorithm16
Advances in image acquisition and processing technologies transforming animal ecological studies16
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection16
Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia16
A review of deep learning techniques used in agriculture16
Delineation of field boundary from multispectral satellite images through U-Net segmentation and template matching16
Principal component analysis of incomplete data – A simple solution to an old problem16
Investigation of climate, land cover and lake level pattern changes and interactions using remotely sensed data and wavelet analysis16
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201916
Integrating data and analysis technologies within leading environmental research infrastructures: Challenges and approaches16
Rural smart tourism under the background of internet plus15
Effects of hydrological modification on fish habitability in riparian flood plain river basin15
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales15
Using a two-stage convolutional neural network to rapidly identify tiny herbivorous beetles in the field15
Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques15
Analysis of potentially suitable habitat within migration connections of an intra-African migrant-the Blue Swallow (Hirundo atrocaerulea)15
Multi-class fish stock statistics technology based on object classification and tracking algorithm15
Quantifying the mitigation of temperature extremes by forests and wetlands in a temperate landscape15
Computer vision technique for freshness estimation from segmented eye of fish image15
Remote sensing-based assessment of ecosystem health by optimizing vigor-organization-resilience model: A case study in Fuzhou City, China15
Influencing factors and multi-scenario prediction of China's ecological footprint based on the STIRPAT model15
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran15
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran15
Drift path of green tide and the impact of typhoon “Chan-hom” in the Chinese Yellow Sea based on GOCI images in 201515
Using Web images to train a deep neural network to detect sparsely distributed wildlife in large volumes of remotely sensed imagery: A case study of polar bears on sea ice14
Benefits of machine learning and sampling frequency on phytoplankton bloom forecasts in coastal areas14
Regional thermal analysis approach: A management tool for predicting water temperature metrics relevant for thermal fish habitat14
Artificial intelligence for carbon emissions using system of systems theory14
What are we talking about? Sika deer (Cervus nippon): A bibliometric network analysis14
A new survey method using convolutional neural networks for automatic classification of bird calls14
An open-source framework to model present and future marine species distributions at local scale14
Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests14
Spatiotemporal dynamic decoupling states of eco-environmental quality and land-use carbon emissions: A case study of Qingdao City, China14
Long-term trends in herring growth primarily linked to temperature by gradient boosting regression trees14
Carbon emission accounting and spatial distribution of industrial entities in Beijing—Combining nighttime light data and urban functional areas14
Image-based insect species and gender classification by trained supervised machine learning algorithms14
Development of QSAR models for prediction of fish bioconcentration factors using physicochemical properties and molecular descriptors with machine learning algorithms14
FishPhyloMaker: An R package to generate phylogenies for ray-finned fishes14
Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks14
Evaluating the effect of ecological policies from the pattern change of persistent green patches–A case study of Yan'an in China's Loess Plateau14
Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review14
Evolution of water-use efficiency in the Yangtze River Economic Belt based on national strategies and water environment treatment13
A review of automatic recognition technology for bird vocalizations in the deep learning era13
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China13
A systematic study of the class imbalance problem: Automatically identifying empty camera trap images using convolutional neural networks13
Determination of urban pollution islands by using remote sensing technology in Moscow, Russia13
Deep learning-based models for temporal satellite data processing: Classification of paddy transplanted fields13
Forecasting environmental factors and zooplankton of Bakreswar reservoir in India using time series model13
Effects of climate change, coal mining and grazing on vegetation dynamics in the mountain permafrost regions13
Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye13
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer13
Quantifying the impacts of opencast mining on vegetation dynamics over eastern India using the long-term Landsat-series satellite dataset13
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)13
Ecological gradients hosting plant communities in Himalayan subalpine pastures: Application of multivariate approaches to identify indicator species13
Improving the classification of invasive plant species by using continuous wavelet analysis and feature reduction techniques13
Deep learning-based segmentation for disease identification13
Distributed Delay Model and Von Foerster's equation: Different points of view to describe insects' life cycles with chronological age and physiological time13
Modeling for multi-temporal cyanobacterial bloom dominance and distributions using landsat imagery13
Panel semiparametric quantile regression neural network for electricity consumption forecasting13
Effects of abiotic factors on plant diversity and species distribution of alpine meadow plants13
How to construct a coordinated ecological network at different levels: A case from Ningbo city, China13
Comparison and empirical analysis of the urban economic development level in the Yangtze River urban agglomeration based on an analogical ecosystem perspective13
Shi-Tomasi corner detector for cattle identification from muzzle print image pattern13
Service accessibility of ecological nodes: An exploratory way to enhance network connectivity in a study case of Wu'an, China13
A bibliometric review of ecological research on the Qinghai–Tibet Plateau, 1990–201913
Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery13
FishSounds Version 1.0: A website for the compilation of fish sound production information and recordings13
Climate change and its impacts on Vietnam agriculture: A macroeconomic perspective13
Synthesizing and analyzing long-term monitoring data: A greater sage-grouse case study12
Identifying prioritized planting areas for medicinal plant Thesium chinense Turcz. under climate change in China12
Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data12
An Open Science approach to infer fishing activity pressure on stocks and biodiversity from vessel tracking data12
Automatic interpretation of salmon scales using deep learning12
Application of geographical information system (GIS) in reducing accident blackspots and in planning of a safer urban road network: A review12
Real-time water quality monitoring of River Ganga (India) using internet of things12
Habitat distribution modeling of endangered medicinal plant Picrorhiza kurroa (Royle ex Benth) under climate change scenarios in Uttarakhand Himalaya, India12
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review12
Predicting the potential sites of Chromolaena odorata and Lantana camara in forest landscape of Eastern Ghats using habitat suitability models12
Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning12
Optimization of species distribution models using a genetic algorithm for simulating climate change effects on Zagros forests in Iran12
Automated classification of bat echolocation call recordings with artificial intelligence12
Developing wetland landscape insecurity and hydrological security models and measuring their spatial linkages12
A recognition method of multispectral images of soybean canopies based on neural network12
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning12
Modeling of migratory beekeeper behaviors with machine learning approach using meteorological and environmental variables: The case of Turkey12
SILIC: A cross database framework for automatically extracting robust biodiversity information from soundscape recordings based on object detection and a tiny training dataset12
A hidden Markov model with selective time domain feature extraction to detect inshore Bryde's whale short pulse calls12
CNN and transformer framework for insect pest classification12
A novel beach litter analysis system based on UAV images and Convolutional Neural Networks12
Towards understanding the role of islandness in shaping socio-ecological systems on SIDS: The socio-ecological islandscape concept12
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