AIMC Topic: Agriculture

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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...
Hordeum Triticum Crops, Agricultural Ethiopia Machine Learning Agriculture
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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...
Groundwater Environmental Monitoring Agriculture Nitrates New Zealand Nitrogen
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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...
Nigeria Agriculture Remote Sensing Technology Crops, Agricultural Floods Humans Food Security
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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...
Fragaria Agriculture Fruit Artificial Intelligence
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Fine extraction of multi-crop planting area based on deep learning with Sentinel- 2 time-series data.

Environmental science and pollution research international Apr 21, 2025
Accurate and timely access to the spatial distribution of crops is crucial for sustainable agricultural development and food security. However, extracting multi-crop areas based on high-resolution time-series data and deep learning still faces challe...
Crops, Agricultural Neural Networks, Computer Agriculture Deep Learning Remote Sensing Technology China
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Soil fertility matters! A new conceptual model for carbon stewardship in neotropical croplands taking climate-smart agricultural practices into account.

The Science of the total environment Apr 16, 2025
Mismanagement of agroecosystems in Neotropical regions threatens global security, accelerating the transgression of planetary boundaries. Therefore, understanding carbon (C) stewardship and how climate-smart agriculture (CSA) practices change nutrien...
Climate Change Fertilizers Carbon Nitrogen Tropical Climate Soil Agriculture Environmental Monitoring
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Maize yield estimation in Northeast China's black soil region using a deep learning model with attention mechanism and remote sensing.

Scientific reports Apr 15, 2025
Accurate prediction of maize yields is crucial for effective crop management. In this paper, we propose a novel deep learning framework (CNNAtBiGRU) for estimating maize yield, which is applied to typical black soil areas in Northeast China. This fra...
Zea mays Soil Agriculture Deep Learning Remote Sensing Technology China
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Integrating advanced deep learning techniques for enhanced detection and classification of citrus leaf and fruit diseases.

Scientific reports Apr 12, 2025
In this study, we evaluate the performance of four deep learning models, EfficientNetB0, ResNet50, DenseNet121, and InceptionV3, for the classification of citrus diseases from images. Extensive experiments were conducted on a dataset of 759 images di...
Plant Leaves Fruit Plant Diseases Image Enhancement Convolutional Neural Networks Agriculture Deep Learning Citrus
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Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives.

International journal of biometeorology Apr 11, 2025
Agricultural research has consistently progressed through the integration of advanced technologies into farming systems. A significant paradigm shift in agricultural production system research has occurred with the development of simulation models, m...
Research Bibliometrics Computer Simulation Agriculture Models, Theoretical Climate Change
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Deep learning based abiotic crop stress assessment for precision agriculture: A comprehensive review.

Journal of environmental management Apr 9, 2025
Abiotic stresses are a leading cause of crop loss and a severe peril to global food security. Precise and prompt identification of abiotic stresses in crops is crucial for effective mitigation strategies. In recent years, Deep learning (DL) technique...
Crops, Agricultural Stress, Physiological Deep Learning Agriculture Neural Networks, Computer
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