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Bi-level decision making in techno-economic planning and probabilistic analysis of community based sector-coupled energy system
The paper proposes a bi-level programming model for community participation in techno-economic planning of an integrated energy system. Distribution...
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Forecasting of solar radiation using different machine learning approaches
In this study, monthly solar radiation (SR) estimation was performed using five different machine learning-based approaches. The models used are...
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Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model
Chilli is one of the world’s most extensively used spices. Numerous diseases affect chilli leaves as a result of climatic and environmental changes,...
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Manifold Analysis for High-Dimensional Socio-Environmental Surveys
Recent studies on anthropogenic climate change demonstrate a disproportionate effect on agriculture in the Global South and North. Questionnaires...
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Fuzzy Logic Approach to Complex Assessment of Drought Vulnerability
Drought is a common climate phenomenon for the territory of Bulgaria, which has a negative impact on agriculture and water resources. Taking into...
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Interventions on Coastal Monuments Against Climatic Change
Climate change impacts are functioning as risk multipliers to problems which are already apparent and affect cultural heritage sites. Sea Level Rise...
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MangoFruitDDS: A Standard Mango Fruit Diseases Dataset Made in Africa
Mango is a lucrative fruit produced in tropical and sub-tropical areas. It is the third most traded tropical fruit after pineapple and avocado in the...
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Regression Analysis for Finding Correlation on Indian Agricultural Data
Food scarcity will be a threatening problem in front of the global civilization due to huge growth in world population and reduce in world...
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Analytical Hierarchical Processing to Delineate Artificial Groundwater Recharge Zones
Scarcity of water has impacted the Gulf countries and one of them is the United Arab Emirates (UAE). Among the many possibilities, a viable approach...
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Crop yield predictive modeling using optimized deep convolutional neural network: An automated crop management system
In agriculture, AI devices have developed tools that help farmers in achieving exact and controlled cultivation. Besides, it helps farmers with...
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Prediction of the level of air pollution using adaptive neuro-fuzzy inference system
Air pollution is a severe environmental issue that has garnered international attention. Air pollution forecasting is critical for daily health...
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Studying the Impact of PV Plants on Power Quality
World experience in the field of renewable energy shows an increase in efficiency in the generation of clean energy as a result of the use of small...
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Challenges in remote sensing based climate and crop monitoring: navigating the complexities using AI
The fast human climate change we are witnessing in the early twenty-first century is inextricably linked to the health and function of the biosphere....
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Improved top-down attention phasmatodea population spiking neural network based multi crop recommendation framework
Modern agriculture refers to the contemporary practices, technologies and methods used in food production to meet the growing global demand for...
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External Climate Data Extraction Using the Forward Feature Selection Method in the Context of Occupational Safety
Global climate changes and the increase in average temperatures are some of the major contemporary problems that have not been considered in the...
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Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (on the Example of the European North-East of Russia)
An algorithm is proposed and the results of ensemble machine learning are presented for the purposes of spatiotemporal forecasting of thermokarst...
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Machine Learning Models for Electricity Generation Forecasting from a PV Farm
Accurate forecasting of the electricity generation from photovoltaic farms plays a significant role in their proper technical and financial...
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Smart Agricultural Mechanization in India—Status and Way Forward
Smart farming is an emerging concept in the digital era that balances sustainable agriculture’s economic, environmental, and social dimensions. This...
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A 3D-Printed Biomimetic Porous Cellulose-Based Artificial Seed with Photonic Cellulose Nanocrystals for Colorimetric Humidity Sensing
Distributed sensing of environmental parameters is going towards solutions that are more efficient by taking inspiration from flying plant seeds....
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A Stacking Ensemble Approach for Robust Dengue Patient Detection from Complete Blood Count Data
Dengue, a virus transmitted by mosquitoes, is a growing global health concern given its escalating incidence, significant death rates, and intense...