AIMC Topic: Crops, Agricultural

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An automated hybrid deep learning framework for paddy leaf disease identification and classification.

Scientific reports Jul 24, 2025
In India, agriculture remains the primary source of livelihood for many people. Pathogen attacks in crops and plants significantly diminish both the yield and quality of production, leading to financial losses. As a result, identifying diseases in cr...
Algorithms Deep Learning Oryza Crops, Agricultural Plant Diseases Image Processing, Computer-Assisted Plant Leaves
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Predicting wheat yield using deep learning and multi-source environmental data.

Scientific reports Jul 21, 2025
Accurate forecasting of crop yields is essential for ensuring food security and promoting sustainable agricultural practices. Winter wheat, a key staple crop in Pakistan, faces challenges in yield prediction because of the complex interactions among ...
Forecasting Soil Deep Learning Neural Networks, Computer Agriculture Pakistan Triticum Crops, Agricultural
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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction.

PloS one Jul 21, 2025
Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dippe...
Algorithms Animals Agriculture Crops, Agricultural Water Quality Agricultural Irrigation Deep Learning
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Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic.

Scientific reports Jul 16, 2025
Climate change is causing more frequent and extraordinary extreme weather events that are already negatively affecting crop production. There is a need for improved climate risk assessment by developing smart adaptation strategies for sustainable fut...
Bangladesh Adaptation, Physiological Climate Change Crops, Agricultural Rain Models, Theoretical Fuzzy Logic Triticum Seasons Zea mays Temperature
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AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming.

Scientific reports Jul 14, 2025
Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a challenging task, significantly impacting crop yield...
Plant Diseases Agriculture Crops, Agricultural Neural Networks, Computer Artificial Intelligence Deep Learning
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ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases.

Scientific reports Jul 11, 2025
The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l...
Crops, Agricultural Plant Diseases Image Processing, Computer-Assisted Neural Networks, Computer Plant Leaves Deep Learning
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Simulation of emitter discharge along drip laterals under drip fertigation system using artificial neural network.

PloS one Jul 8, 2025
Simulation of emitter discharge under a drip fertigation system is important for capturing the variation in water and nutrient distribution to crops. This is important for an effective design and irrigation management for agricultural crops. Moreover...
Neural Networks, Computer Computer Simulation Crops, Agricultural Agricultural Irrigation Models, Theoretical
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Breeding perspectives on tackling trait genome-to-phenome (G2P) dimensionality using ensemble-based genomic prediction.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 4, 2025
Trait Genome-to-Phenome (G2P) dimensionality and "breeding context" combine to influence the realised prediction skill of different whole genome prediction (WGP) methods. Theory and empirical evidence both suggest there is likely to be "No Free Lunch...
Quantitative Trait Loci Plant Breeding Crops, Agricultural Genome, Plant Phenotype Machine Learning Artificial Intelligence Genomics Algorithms Models, Genetic
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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...
Plant Diseases Neural Networks, Computer Plant Leaves Crops, Agricultural Algorithms
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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...
Crops, Agricultural Plant Diseases Agriculture Neural Networks, Computer Internet of Things Artificial Intelligence
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