AIMC Topic: Agriculture

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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...
Remote Sensing Technology China Neural Networks, Computer Crops, Agricultural Agriculture Deep Learning
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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...
Agriculture Environmental Monitoring Tropical Climate Soil Climate Change Carbon Fertilizers Nitrogen
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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...
Remote Sensing Technology Zea mays China Agriculture Soil Deep Learning
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Predicting the environmental fate of biodegradable mulch films: A machine learning approach for sustainable agriculture.

Journal of hazardous materials Apr 13, 2025
Biodegradable plastic mulch films (BDM) have been proposed as one of the dominant strategies for plastic pollution prevention in agriculture. As the BDM degradation is a complex process affected by multiple factors, the degradation cycle of BDM has s...
Machine Learning Agriculture Biodegradation, Environmental Biodegradable Plastics Soil 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...
Image Enhancement Citrus Fruit Plant Diseases Agriculture Plant Leaves Deep Learning Convolutional Neural Networks
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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...
Climate Change Models, Theoretical Bibliometrics Research Computer Simulation Agriculture
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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...
Agriculture Crops, Agricultural Stress, Physiological Neural Networks, Computer Deep Learning
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A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture.

Scientific reports Apr 9, 2025
Plant pathogens and pests hinder general plant health, resulting in poor agricultural yields and production. These threaten global food security and cause environmental and economic shortages. Amidst the available existing heavy deep learning (DL) mo...
Neural Networks, Computer Deep Learning Agriculture Plant Leaves Plant Diseases Stress, Physiological
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images.

Scientific reports Apr 7, 2025
Wheat is one of the world's most widely cultivated cereal crops and is a primary food source for a significant portion of the population. Wheat goes through several distinct developmental phases, and accurately identifying these stages is essential f...
Neural Networks, Computer Triticum Image Processing, Computer-Assisted Crops, Agricultural Agriculture
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Hybrid vision GNNs based early detection and protection against pest diseases in coffee plants.

Scientific reports Apr 6, 2025
Agriculture is an essential foundation that supports numerous economies, and the longevity of the coffee business is of paramount significance. Controlling and safeguarding coffee farms from harmful pests, including the Coffee Berry Borer, Mealybugs,...
Plant Diseases Coffee Coffea Crops, Agricultural Neural Networks, Computer Pest Control Animals Deep Learning Agriculture
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