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Harnessing quantum computing for smart agriculture: Empowering sustainable crop management and yield optimization
Agriculture has undergone progressive transformations using ever-evolving technologies to
increase productivity and profitability. A new approach to agricultural management based on …
increase productivity and profitability. A new approach to agricultural management based on …
Metaheuristic algorithms in smart farming: An analytical survey
The techniques for solving complex optimization problems using nature inspired
metaheuristic algorithms are widely accepted. Nature inspired methods use nature derived …
metaheuristic algorithms are widely accepted. Nature inspired methods use nature derived …
Waste management 2.0 leveraging internet of things for an efficient and eco-friendly smart city solution
Waste management poses a major challenge for cities worldwide, with significant
environmental, economic, and social impacts. This paper proposes a novel waste …
environmental, economic, and social impacts. This paper proposes a novel waste …
Precision agriculture with AI-based responsive monitoring algorithm
Precision Agriculture (PA) is a relatively new farming approach, applying science and
technology to enhance cost-effectiveness and improve food security by optimizing …
technology to enhance cost-effectiveness and improve food security by optimizing …
Recent advancements in biomass to bioenergy management and carbon capture through artificial intelligence integrated technologies to achieve carbon neutrality
Biomass, a renewable resource crucial for carbon neutrality, serves as a sustainable
alternative to fossil fuels by closing the carbon loop. The biotransformation of biomass into …
alternative to fossil fuels by closing the carbon loop. The biotransformation of biomass into …
Enhancing rainwater harvesting and groundwater recharge efficiency with multi-dimensional LSTM and clonal selection algorithm
Rainwater harvesting stands out as a promising solution to alleviate water scarcity and
alleviate pressure on conventional water reservoirs. This work introduces a pioneering …
alleviate pressure on conventional water reservoirs. This work introduces a pioneering …
Hybridizing five neural-metaheuristic paradigms to predict the pillar stress in bord and pillar method
Pillar stability is an important condition for safe work in room-and-pillar mines. The instability
of pillars will lead to large-scale collapse hazards, and the accurate estimation of induced …
of pillars will lead to large-scale collapse hazards, and the accurate estimation of induced …
Evaluation of synthetic data generation for intelligent climate control in greenhouses
We are witnessing the digitalization era, where artificial intelligence (AI)/machine learning
(ML) models are mandatory to transform this data deluge into actionable information …
(ML) models are mandatory to transform this data deluge into actionable information …
Emerging Perspectives on Diverse Nature-Oriented Sustainability Strategies
Increasing levels of nature-oriented sustainability strategies (NOSSs) are being recognized
as offering solutions to combat climate change at scale, both through transformative …
as offering solutions to combat climate change at scale, both through transformative …
Applications and perspectives of Generative Artificial Intelligence in agriculture
F Pallottino, S Violino, S Figorilli, C Pane… - … and Electronics in …, 2025 - Elsevier
Artificial Intelligence (AI) applications related to agriculture have recently gained in use and
attention. They are indeed valuable tools for interpreting data, improving production chains …
attention. They are indeed valuable tools for interpreting data, improving production chains …