Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India

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The global tree restoration potential

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A comprehensive review on automation in agriculture using artificial intelligence

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Tracking the global footprint of fisheries

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A Survey of Research on Cloud Robotics and Automation

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A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

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Perspectives in machine learning for wildlife conservation

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Applications for deep learning in ecology

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A survey on river water quality modelling using artificial intelligence models: 2000–2020

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Why Are There So Many Species of Herbivorous Insects in Tropical Rainforests?

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A fuzzy logic expert system to estimate intrinsic extinction vulnerabilities of marine fishes to fishing

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Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters

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A review of neural networks in plant disease detection using hyperspectral data

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Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study

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Identifying animal species in camera trap images using deep learning and citizen science

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Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling

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Carbon sequestration: Managing forests in uncertain times

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Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China

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Automated plant species identification—Trends and future directions

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Global analysis of the protection status of the world’s forests

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Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability

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Deep Learning for Plant Identification in Natural Environment

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Multi-Scale Approach for Predicting Fish Species Distributions across Coral Reef Seascapes

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Automatic fish species classification in underwater videos: exploiting pre-trained deep neural network models to compensate for limited labelled data

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Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review

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A Deep learning method for accurate and fast identification of coral reef fishes in underwater images

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Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

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A review on integration of artificial intelligence into water quality modelling

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Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem

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Improving biodiversity protection through artificial intelligence

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CARBON FLOW IN INDIAN FORESTS

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Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

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Application of machine-learning methods in forest ecology: recent progress and future challenges

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Predicting the HMA-LMA Status in Marine Sponges by Machine Learning

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Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data

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A novel approach in water quality assessment based on fuzzy logic

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Pathways and challenges of the application of artificial intelligence to geohazards modelling

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Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

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Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

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Fish species identification using a convolutional neural network trained on synthetic data

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Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants

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iPathology: Robotic Applications and Management of Plants and Plant Diseases

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Review on Techniques for Plant Leaf Classification and Recognition

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Machine learning for tracking illegal wildlife trade on social media

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Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA☆

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New approaches to modelling fish–habitat relationships

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Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?

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Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

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Deep learning for environmental conservation

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Evaluation of artificial intelligence models for flood and drought forecasting in arid and tropical regions

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Computational sustainability: computing for a better world and a sustainable future

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Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

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Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks

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Assessing the extent and nature of wildlife trade on the dark web

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Image-based, unsupervised estimation of fish size from commercial landings using deep learning

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Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data

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Artificial Intelligence for Social Good: A SurveyPreprint

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The sound of a tropical forest

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A multi‐parameter artificial neural network model to estimate macrobenthic invertebrate productivity and production

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Artificial Intelligence and Natural Resource Management

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A Review and Categorization of Artificial Intelligence-Based Opportunities in Wildlife, Ocean and Land Conservation

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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery

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Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild

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Towards Automated Visual Monitoring of Individual Gorillas in the Wild

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Forest-Water Interactions

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Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks

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