AIMC Topic: Crops, Agricultural

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Plant leaf disease detection using vision transformers for precision agriculture.

Scientific reports Jul 1, 2025
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs)...
Neural Networks, Computer Image Processing, Computer-Assisted Crops, Agricultural Plant Diseases Agriculture Plant Leaves
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Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.

Functional & integrative genomics Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
Multiomics Proteomics Genomics Stress, Physiological Metabolomics Plant Breeding Crops, Agricultural
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Toward a general framework for AI-enabled prediction in crop improvement.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 12, 2025
A theoretical framework for AI and ensembled prediction for crop improvement is introduced and demonstrated using the logistic map. Symbolic/sub-symbolic AI-based prediction can increase predictive skill with increase in system complexity. The curse ...
Crops, Agricultural Plant Breeding Artificial Intelligence Phenotype Models, Genetic Bayes Theorem
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Improving plant breeding through AI-supported data integration.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 2, 2025
Integrating, learning from, and predicting using vast datasets from various scales, platforms, and species is crucial for advancing crop improvement through breeding. Artificial intelligence (AI) is a broad category of methods, many of which have bee...
Crops, Agricultural Artificial Intelligence Plant Breeding Phenotype
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Assessing the performance of domain-specific models for plant leaf disease classification: a comprehensive benchmark of transfer-learning on open datasets.

Scientific reports May 30, 2025
Agriculture and its yields are indispensable to human life all over the planet. It is an essential part of many countries' economies and without it the world's population can not be fed. As such, guaranteeing harvest with minimal loss is a primary ob...
Crops, Agricultural Plant Diseases Deep Learning Plant Leaves Neural Networks, Computer
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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...
Crops, Agricultural Artificial Intelligence Algorithms Animals Agriculture
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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...
Deep Learning Agriculture Climate Remote Sensing Technology Satellite Imagery Triticum Machine Learning Pakistan Forecasting Crops, Agricultural
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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 Internet of Things Crops, Agricultural Deep Learning Plant Diseases Agriculture Cloud Computing
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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...
Ethiopia Crops, Agricultural Machine Learning Triticum Hordeum Agriculture
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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...
Crops, Agricultural Floods Agriculture Remote Sensing Technology Food Security Humans Nigeria
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