AIMC Topic: Agricultural Irrigation
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction.
Scientific reports
Aug 9, 2025
Accurate scientific predicting of water requirements for protected agriculture crops is essential for informed irrigation management. The Penman-Monteith model, endorsed by the Food and Agriculture Organization of the United Nations (FAO), is current...
Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction.
PloS one
Jul 21, 2025
Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dippe...
Monitoring the dynamics of irrigated parcels and impacts on phreatic water quality in the Mostaganem Plateau (northwestern Algeria): an integrated analysis using remote sensing and field data for 2010 and 2020.
Environmental monitoring and assessment
Jul 10, 2025
Since the early 2000s, Algeria has implemented several agricultural policies to expand its irrigated areas and enhance its national food security. While these efforts have significantly increased irrigated land, they have raised concerns about ground...
Simulation of emitter discharge along drip laterals under drip fertigation system using artificial neural network.
PloS one
Jul 8, 2025
Simulation of emitter discharge under a drip fertigation system is important for capturing the variation in water and nutrient distribution to crops. This is important for an effective design and irrigation management for agricultural crops. Moreover...
Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system.
PloS one
Mar 18, 2025
As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies ...
Physics-informed neural networks for enhanced reference evapotranspiration estimation in Morocco: Balancing semi-physical models and deep learning.
Chemosphere
Feb 20, 2025
Reference evapotranspiration (ETo) is essential for agricultural water management, crop productivity, and irrigation systems. The Penman-Monteith (PM) equation is the standard method for estimating ETo, but its data-intensive nature makes it impracti...
Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.
Journal of environmental management
Jan 31, 2025
The increasing impacts of climate change on global agriculture necessitate the development of advanced predictive models for efficient water management in crop fields. This study aims to enhance the forecasting of evapotranspiration (ET), potential e...
The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture.
PloS one
Jan 17, 2025
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural...
Utilizing convolutional neural network (CNN) for orchard irrigation decision-making.
Environmental monitoring and assessment
Jan 14, 2025
Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing a...
Deployment of intelligent irrigation monitoring system with Android app for machine learning prediction.
Environmental monitoring and assessment
Nov 21, 2024
Water is a fundamental necessity for humans and a critical resource in agriculture. However, water scarcity poses a significant challenge, especially considering that agriculture accounts for a substantial portion of freshwater usage. The inadequate ...
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