AIMC Topic: Crops, Agricultural

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Spatial attention-guided pre-trained networks for accurate identification of crop diseases.

Scientific reports Jul 2, 2025
The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. As observed, the manual inspection to the illness is often inefficient and error-prone, particularly under conditions...
Neural Networks, Computer Crops, Agricultural Plant Diseases Algorithms Plant Leaves
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AI and IoT-powered edge device optimized for crop pest and disease detection.

Scientific reports Jul 2, 2025
Climate change exacerbates the challenges of maintaining crop health by influencing invasive pest and disease infestations, especially for cereal crops, leading to enormous yield losses. Consequently, innovative solutions are needed to monitor crop h...
Plant Diseases Internet of Things Crops, Agricultural Neural Networks, Computer Artificial Intelligence Agriculture
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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 Plant Diseases Plant Leaves Crops, Agricultural Image Processing, Computer-Assisted Agriculture
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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...
Plant Breeding Proteomics Metabolomics Crops, Agricultural Stress, Physiological Genomics Multiomics
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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 ...
Phenotype Models, Genetic Artificial Intelligence Plant Breeding Bayes Theorem Crops, Agricultural
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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...
Plant Breeding Phenotype Artificial Intelligence Crops, Agricultural
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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...
Plant Diseases Neural Networks, Computer Deep Learning Plant Leaves Crops, Agricultural
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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...
Artificial Intelligence Agriculture Crops, Agricultural Algorithms Animals
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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 Triticum Climate Forecasting Pakistan Agriculture Machine Learning Deep Learning Satellite Imagery Remote Sensing Technology
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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...
Crops, Agricultural Plant Diseases Humans Agriculture Cloud Computing Neural Networks, Computer Internet of Things Deep Learning
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