Ecological Informatics

Papers
(The median citation count of Ecological Informatics is 4. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Plant leaf disease classification using EfficientNet deep learning model468
BirdNET: A deep learning solution for avian diversity monitoring281
A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants230
A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications152
Dense convolutional neural networks based multiclass plant disease detection and classification using leaf images145
An evaluation of feature selection methods for environmental data90
A novel CNN-LSTM-based approach to predict urban expansion89
Classification and detection of insects from field images using deep learning for smart pest management: A systematic review89
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection83
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region82
Predicting potential suitable habitats of Chinese fir under current and future climatic scenarios based on Maxent model79
Spatial correlation evolution and prediction scenario of land use carbon emissions in China77
Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey76
Energy consumption and environmental degradation nexus: A systematic review and meta-analysis of fossil fuel and renewable energy consumption76
Analysis on change detection techniques for remote sensing applications: A review71
Identification of disease using deep learning and evaluation of bacteriosis in peach leaf69
VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant65
A critical review on water quality index tool: Genesis, evolution and future directions63
Spatial differentiation of traditional villages using ArcGIS and GeoDa: A case study of Southwest China63
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm61
A review of drought monitoring with big data: Issues, methods, challenges and research directions60
Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India59
High performing ensemble of convolutional neural networks for insect pest image detection57
Individual tree crown delineation from high-resolution UAV images in broadleaf forest57
Modeling habitat suitability of Houttuynia cordata Thunb (Ceercao) using MaxEnt under climate change in China57
Effects of sample size and network depth on a deep learning approach to species distribution modeling56
YOLO-Fish: A robust fish detection model to detect fish in realistic underwater environment52
A deep learning ensemble model for wildfire susceptibility mapping50
Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review49
Impact of LUCC on landscape pattern in the Yangtze River Basin during 2001–201949
A novel multi-head CNN design to identify plant diseases using the fusion of RGB images48
A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images47
Application of virtual reality teaching method and artificial intelligence technology in digital media art creation46
Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model46
Review of machine learning techniques for mosquito control in urban environments46
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata46
A review of deep learning techniques used in agriculture45
DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection45
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system44
Identification of animals and recognition of their actions in wildlife videos using deep learning techniques44
From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing44
Identifying and classifying plant disease using resilient LF-CNN43
Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile42
Pollution characteristics and risk assessment of heavy metals in the soil of a construction waste landfill site42
Evolution of research on circular economy and related trends and topics. A thirteen-year review41
Evaluation of different DEMs for gully erosion susceptibility mapping using in-situ field measurement and validation41
Naïve Bayes ensemble models for groundwater potential mapping40
Application of machine learning approaches for land cover monitoring in northern Cameroon40
Watershed prioritization using morphometric analysis by MCDM approaches40
Convolutional neural network based encoder-decoder architectures for semantic segmentation of plants40
Urban green and blue space changes: A spatiotemporal evaluation of impacts on ecosystem service value in Bangladesh39
BLeafNet: A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification39
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation39
Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm38
Deep transfer learning model for disease identification in wheat crop38
Effects of street orientation and tree species thermal comfort within urban canyons in a hot, dry climate38
Regional-scale vegetation-climate interactions on the Qinghai-Tibet Plateau37
Detection and classification of marine mammal sounds using AlexNet with transfer learning37
Using phylogenetic information to impute missing functional trait values in ecological databases37
Spatio-temporal air quality analysis and PM2.5 prediction over Hyderabad City, India using artificial intelligence techniques37
Research on landscape design system based on 3D virtual reality and image processing technology37
3D-CNN based UAV hyperspectral imagery for grassland degradation indicator ground object classification research36
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)36
LEMOXINET: Lite ensemble MobileNetV2 and Xception models to predict plant disease36
Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches36
Combined role of economic openness, financial deepening, biological capacity, and human capital in achieving ecological sustainability35
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms35
A novel classifier for improving wetland mapping by integrating image fusion techniques and ensemble machine learning classifiers35
GIS-based spatial prediction of recreational trail susceptibility in protected area of Sikkim Himalaya using logistic regression, decision tree and random forest model34
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 India34
Flood susceptibility mapping using extremely randomized trees for Assam 2020 floods33
Effects of class imbalance on resampling and ensemble learning for improved prediction of cyanobacteria blooms33
Amazon forest cover change mapping based on semantic segmentation by U-Nets33
A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas33
Identifying the contradiction between the cultivated land fragmentation and the construction land expansion from the perspective of urban-rural differences33
Projected shifts in the distribution range of Asiatic black bear (Ursus thibetanus) in the Hindu Kush Himalaya due to climate change33
Groundwater suitability assessment based on water quality index and hydrochemical characterization of Suri Sadar Sub-division, West Bengal33
Eff-UNet++: A novel architecture for plant leaf segmentation and counting33
Modeling the response of negative air ions to environmental factors using multiple linear regression and random forest32
Spatiotemporal variation in vegetation coverage and its driving factors in the Guanzhong Basin, NW China32
A novel deep learning method for maize disease identification based on small sample-size and complex background datasets32
Change in cereal production caused by climate change in Malaysia32
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model32
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks31
Dealing with clustered samples for assessing map accuracy by cross-validation31
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 added30
Artificial intelligence for carbon emissions using system of systems theory30
Spatial relationships between NDVI and topographic factors at multiple scales in a watershed of the Minjiang River, China30
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, China29
Using RS/GIS for spatiotemporal ecological vulnerability analysis based on DPSIR framework in the Republic of Tatarstan, Russia29
Passive acoustic monitoring of animal populations with transfer learning29
Automatic underwater fish species classification with limited data using few-shot learning29
POLLEN73S: An image dataset for pollen grains classification29
Remote sensing-based assessment of ecosystem health by optimizing vigor-organization-resilience model: A case study in Fuzhou City, China28
Recognition and counting of typical apple pests based on deep learning28
Monitoring landscape fragmentation and aboveground biomass estimation in Can Gio Mangrove Biosphere Reserve over the past 20 years28
Application of Google earth engine python API and NAIP imagery for land use and land cover classification: A case study in Florida, USA28
Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003–201828
Spatiotemporal evolutions and driving factors of green development performance of cities in the Yangtze River Economic Belt28
Sweet potato leaf detection in a natural scene based on faster R-CNN with a visual attention mechanism and DIoU-NMS27
Enhanced radial basis function neural network for tomato plant disease leaf image segmentation27
Vegetation responses to variations in climate: A combined ordinary differential equation and sequential Monte Carlo estimation approach27
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms27
Semantic segmentation of seagrass habitat from drone imagery based on deep learning: A comparative study27
On loss functions and CNNs for improved bioacoustic signal classification27
Evolutionary overview of water resource management (1990–2019) based on a bibliometric analysis in Web of Science27
Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks27
How do transportation-based environmental taxation and globalization contribute to ecological sustainability?27
Towards an integrated forest fire danger assessment system for the European Alps27
A quantitative detection algorithm based on improved faster R-CNN for marine benthos27
New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia26
Exploring the development of scientific research on Marine Protected Areas: From conservation to global ocean sustainability26
A reporting format for leaf-level gas exchange data and metadata26
Quantitative assessment of the importance of bio-physical drivers of land cover change based on a random forest method26
Climate change and its impacts on Vietnam agriculture: A macroeconomic perspective25
Spatio–temporal variation of vegetation heterogeneity in groundwater dependent ecosystems within arid environments25
Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–201925
A review of automatic recognition technology for bird vocalizations in the deep learning era25
Modeling potential hotspots of invasive Prosopis juliflora (Swartz) DC in India25
Remote sensing-derived land surface temperature trends over South Asia25
Predicting potential occurrence of pine wilt disease based on environmental factors in South Korea using machine learning algorithms25
Assessing the impacts of meteorological factors on soybean production in China: What role can agricultural subsidy play?25
Monitoring and driving force analysis of spatial and temporal change of water area of Hongjiannao Lake from 1973 to 201925
Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye25
Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review25
Spatial and temporal population change in the Tehran Metropolitan Region and its consequences on urban decline and sprawl24
RVFR: Random vector forest regression model for integrated & enhanced approach in forest fires predictions24
How to construct a coordinated ecological network at different levels: A case from Ningbo city, China24
Temporal and spatial differentiation in the surface recovery of post-seismic landslides in Wenchuan earthquake-affected areas24
Spatiotemporal dynamic decoupling states of eco-environmental quality and land-use carbon emissions: A case study of Qingdao City, China24
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review24
Modelling the susceptibility of wetland plant species under climate change in the Mekong Delta, Vietnam24
Underwater object detection based on bi-dimensional empirical mode decomposition and Gaussian Mixture Model approach24
Deep learning-based multi-task prediction system for plant disease and species detection24
Forecasting the effects of bioclimatic characteristics and climate change on the potential distribution of Colophospermum mopane in southern Africa using Maximum Entropy (Maxent)24
An improved real-time water quality monitoring embedded system with IoT on unmanned surface vehicle23
Modeling alterations in flow regimes under changing climate in a Mediterranean watershed: An analysis of ecologically-relevant hydrological indicators23
Deep learning for the prediction and classification of land use and land cover changes using deep convolutional neural network23
Detecting outliers in a univariate time series dataset using unsupervised combined statistical methods: A case study on surface water temperature23
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries23
Acoustic detection of regionally rare bird species through deep convolutional neural networks23
LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems23
A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale23
Naive Bayesian fusion based deep learning networks for multisegmented classification of fishes in aquaculture industries23
Assessment of eco-environmental quality changes and spatial heterogeneity in the Yellow River Delta based on the remote sensing ecological index and geo-detector model23
Automatic strawberry leaf scorch severity estimation via faster R-CNN and few-shot learning23
New image dataset and new negative sample judgment method for crop pest recognition based on deep learning models23
Principal component analysis of incomplete data – A simple solution to an old problem22
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 validation22
Vegetation recovery and recent degradation in different karst landforms of southwest China over the past two decades using GEE satellite archives22
RolWinMulCor: An R package for estimating rolling window multiple correlation in ecological time series22
Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests22
Computer vision technique for freshness estimation from segmented eye of fish image22
Influencing factors and multi-scenario prediction of China's ecological footprint based on the STIRPAT model21
Deep learning-based segmentation for disease identification21
Carbon emission accounting and spatial distribution of industrial entities in Beijing—Combining nighttime light data and urban functional areas21
Integrating data and analysis technologies within leading environmental research infrastructures: Challenges and approaches21
Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming21
Exploring the forms of wetland modifications and investigating the causes in lower Atreyee river floodplain area21
Adaptive linear feature-reuse network for rapid forest fire smoke detection model21
Construction and optimization of ecological networks in karst regions based on multi-scale nesting: A case study in Guangxi Hechi, China21
Spatiotemporal evolution of desertification based on integrated remote sensing indices in Duolun County, Inner Mongolia21
An improved Faster R-CNN model for multi-object tomato maturity detection in complex scenarios21
Pine pest detection using remote sensing satellite images combined with a multi-scale attention-UNet model21
CNN and transformer framework for insect pest classification21
Hybrid convolution neural network model for a quicker detection of infested maize plants with fall armyworms using UAV-based images21
Vision transformer meets convolutional neural network for plant disease classification20
Identifying wildlife observations on twitter20
Spatial-temporal characteristics of carbon emissions corrected by socio-economic driving factors under land use changes in Sichuan Province, southwestern China20
Investigation of climate, land cover and lake level pattern changes and interactions using remotely sensed data and wavelet analysis20
Quantifying the mitigation of temperature extremes by forests and wetlands in a temperate landscape20
Based investigate of beehive sound to detect air pollutants by machine learning20
Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran20
Study on the temporal and spatial distribution of chlorophyll a in Erhai Lake based on multispectral data from environmental satellites20
Evaluation of water quality based on UAV images and the IMP-MPP algorithm20
Deep learning for supervised classification of temporal data in ecology20
Numerical analysis of factors, pace and intensity of the corona virus (COVID-19) epidemic in Poland20
Spatiotemporal evolution and attribution analysis of grassland NPP in the Yellow River source region, China19
A bibliometric review of ecological research on the Qinghai–Tibet Plateau, 1990–201919
Advances in image acquisition and processing technologies transforming animal ecological studies19
Real-time water quality monitoring of River Ganga (India) using internet of things19
Integrating citizen science and spatial ecology to inform management and conservation of the Italian seahorses19
Prediction of potential distribution of soybean in the frigid region in China with MaxEnt modeling19
A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales19
Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm19
Rural smart tourism under the background of internet plus18
An intelligent and cost-effective remote underwater video device for fish size monitoring18
Effects of hydrological modification on fish habitability in riparian flood plain river basin18
Design of an intelligent bean cultivation approach using computer vision, IoT and spatio-temporal deep learning structures18
Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images18
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning18
Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data18
Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India18
Estimation algorithm for chlorophyll-a concentrations in water from hyperspectral images based on feature derivation and ensemble learning18
A new robust hybrid model based on support vector machine and firefly meta-heuristic algorithm to predict pistachio yields and select effective soil variables18
Quantifying the spatial pattern of urban expansion trends in the period 1987–2022 and identifying areas at risk of flooding due to the impact of urbanization in Lao Cai city18
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer18
Multi-class fish stock statistics technology based on object classification and tracking algorithm18
Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022)18
Aggregation as an antipredator strategy in the rock-paper-scissors model18
Low-cost open-source recorders and ready-to-use machine learning approaches provide effective monitoring of threatened species17
Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery17
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection17
Evolution of water-use efficiency in the Yangtze River Economic Belt based on national strategies and water environment treatment17
Shi-Tomasi corner detector for cattle identification from muzzle print image pattern17
Drift path of green tide and the impact of typhoon “Chan-hom” in the Chinese Yellow Sea based on GOCI images in 201517
Automatic stomata recognition and measurement based on improved YOLO deep learning model and entropy rate superpixel algorithm17
Habitat distribution modeling of endangered medicinal plant Picrorhiza kurroa (Royle ex Benth) under climate change scenarios in Uttarakhand Himalaya, India17
Long-term trends in herring growth primarily linked to temperature by gradient boosting regression trees17
Image-based insect species and gender classification by trained supervised machine learning algorithms17
Short- and long-term streamflow forecasting using wavelet neural networks for complex watersheds: A case study in the Mahanadi River, India17
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review17
Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks17
Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia)17
Winter wheat yield prediction in the conterminous United States using solar-induced chlorophyll fluorescence data and XGBoost and random forest algorithm16
Spatio-temporal variations of ecosystem health in the Liuxi River Basin, Guangzhou, China16
Identification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran16
Delineation of field boundary from multispectral satellite images through U-Net segmentation and template matching16
Background sampling for multi-scale ensemble habitat selection modeling: Does the number of points matter?16
Improving the classification of invasive plant species by using continuous wavelet analysis and feature reduction techniques16
Development of QSAR models for prediction of fish bioconcentration factors using physicochemical properties and molecular descriptors with machine learning algorithms16
FishPhyloMaker: An R package to generate phylogenies for ray-finned fishes16
Evaluating the effect of ecological policies from the pattern change of persistent green patches–A case study of Yan'an in China's Loess Plateau16
What are we talking about? Sika deer (Cervus nippon): A bibliometric network analysis16
Automatic interpretation of salmon scales using deep learning16
Ecological gradients hosting plant communities in Himalayan subalpine pastures: Application of multivariate approaches to identify indicator species16
Monitoring of land surface albedo and its impact on land surface temperature (LST) using time series of remote sensing data16
Determination of urban pollution islands by using remote sensing technology in Moscow, Russia16
Benefits of machine learning and sampling frequency on phytoplankton bloom forecasts in coastal areas16
Panel semiparametric quantile regression neural network for electricity consumption forecasting16
Effect of stand age on soil microbial communities of a plantation Ormosia hosiei forest in southern China16
Spatiotemporal variations and driving mechanisms of vegetation coverage in the Wumeng Mountainous Area, China16
Effects of abiotic factors on plant diversity and species distribution of alpine meadow plants16
Climate change and food security nexus in Asia: A regional comparison16
Recognition method of soybean leaf diseases using residual neural network based on transfer learning16
Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience16
Effects of climate change, coal mining and grazing on vegetation dynamics in the mountain permafrost regions15
Biocrust microbiomes influence ecosystem structure and function in the Mu Us Sandland, northwest China15
Using a two-stage convolutional neural network to rapidly identify tiny herbivorous beetles in the field15
Quantifying the impacts of opencast mining on vegetation dynamics over eastern India using the long-term Landsat-series satellite dataset15
Evaluation of earth observation datasets for LST trends over India and its implication in global warming15
Modeling of migratory beekeeper behaviors with machine learning approach using meteorological and environmental variables: The case of Turkey15
Characteristics of built-up land change in resource-based cities and their impact on land surface temperature—Taking Wu'an as an example15
Developing wetland landscape insecurity and hydrological security models and measuring their spatial linkages15
A novel beach litter analysis system based on UAV images and Convolutional Neural Networks15
U-YOLOv7: A network for underwater organism detection15
Predicting the potential sites of Chromolaena odorata and Lantana camara in forest landscape of Eastern Ghats using habitat suitability models15
Normalized difference vegetation index prediction based on the delta downscaling method and back-propagation artificial neural network under climate change in the Sanjiangyuan region, China15
Automated classification of bat echolocation call recordings with artificial intelligence15
A new survey method using convolutional neural networks for automatic classification of bird calls15
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