AIMC Topic: Agriculture

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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.

PloS one Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
Forecasting Deep Learning Models, Economic Agriculture Commerce Zea mays
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Comparative analysis of SWAT and SWAT coupled with XGBoost model using Optuna hyperparameter optimization for nutrient simulation: A case study in the Upper Nan River basin, Thailand.

Journal of environmental management Jun 2, 2025
Agricultural runoff leading to nitrate (NO-N) and orthophosphate (PO-P) contamination poses significant environmental and public health risks. This study integrates the Soil and Water Assessment Tool (SWAT) with eXtreme Gradient Boosting (XGBoost), o...
Agriculture Environmental Monitoring Soil Thailand Nitrates Machine Learning Rivers Water Pollutants, Chemical Boosting Machine Learning Algorithms Nutrients
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A novel feature fusion and mountain gazelle optimizer based framework for the recognition of jute pests in sustainable agriculture.

Scientific reports May 25, 2025
Sustainable agriculture is an approach that involves adopting and developing agricultural practices to increase efficiency and preserve resources, both environmentally and economically. Jute is one of the primary sources of income grown in many count...
Agriculture Crops, Agricultural Algorithms Animals Artificial Intelligence
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Enhanced wheat yield prediction through integrated climate and satellite data using advanced AI techniques.

Scientific reports May 24, 2025
Wheat plays a vital role in Pakistan's economy and food security, making accurate yield forecasting essential for planning and resource management. Traditional approaches-such as manual field surveys and remote sensing-have been widely used, but thei...
Crops, Agricultural Climate Satellite Imagery Triticum Pakistan Agriculture Remote Sensing Technology Forecasting Machine Learning Deep Learning
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An intelligent framework for crop health surveillance and disease management.

PloS one May 23, 2025
The agricultural sector faces critical challenges, including significant crop losses due to undetected plant diseases, inefficient monitoring systems, and delays in disease management, all of which threaten food security worldwide. Traditional approa...
Humans Neural Networks, Computer Plant Diseases Internet of Things Deep Learning Cloud Computing Crops, Agricultural Agriculture
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Spatial Risks of Microplastics in Soils and the Cascading Effects Thereof.

Environmental science & technology May 21, 2025
Microplastic (MP) pollution has become a significant global concern in soil systems. The spatial risk of MPs in soils, the cascading effects of climate, human activities, and air quality, and the ecosystem gradients from natural habitats, agricultura...
Humans Environmental Monitoring Soil Pollutants China Microplastics Agriculture Soil Ecosystem
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Predicting land suitability for wheat and barley crops using machine learning techniques.

Scientific reports May 7, 2025
Ensuring food security to meet the demands of a growing population remains a key challenge, especially for developing countries like Ethiopia. There are various policies and strategies designed by the government and stakeholders to confront the chall...
Crops, Agricultural Machine Learning Hordeum Ethiopia Agriculture Triticum
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Modelling and mapping of subsurface nitrate-attenuation index in agricultural landscapes.

Journal of environmental management May 5, 2025
Environmental management of nutrient losses from agricultural lands is required to reduce their potential impacts on the quality of groundwater and eutrophication of surface waters in agricultural landscapes. However, accurate accounting and manageme...
Environmental Monitoring New Zealand Nitrogen Agriculture Groundwater Nitrates
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Improved integrated framework for flooded crop damage and recovery assessment: A multi-source earth observation and participatory mapping in Hadejia, Nigeria.

Journal of environmental management Apr 30, 2025
Flooding has increasingly significant adverse effects on global food security, and there is a lack of a framework to effectively integrate remote sensing with survey data for accurate damage and recovery assessment. Also, optical satellite images for...
Remote Sensing Technology Crops, Agricultural Nigeria Food Security Agriculture Floods Humans
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SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Scientific reports Apr 23, 2025
Agriculture is vital for human sustenance and economic stability, with increasing global food demand necessitating innovative practices. Traditional farming methods have caused significant environmental damage, highlighting the need for sustainable p...
Fruit Artificial Intelligence Fragaria Agriculture
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