AIMC Topic: Oryza

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Photosynthetic performance index (PIabs) and malondialdehyde (MDA) content determine rice biomass under combined salt stress and prohexadione-calcium treatment.

BMC plant biology Jul 2, 2025
BACKGROUND: Plant growth regulators (PGRs) have proven effective in alleviating salt stress damage in crops, yet the predictive hierarchy of physiological traits governing biomass under combined salt-PGR regimes remains unclear. In this study, we app...
Biomass Malondialdehyde Plant Growth Regulators Photosynthesis Salt Stress Hexanes Oryza Calcium Compounds
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Development and evaluation of an automated classification and counting system for rice planthoppers captured on survey boards.

Scientific reports Jul 1, 2025
Rice planthoppers are the most economically important insect pests of rice in Asia. Traditional surveys to examine their abundance and composition in paddy fields involve human visual inspection, which requires considerable time and effort by expert ...
Female Deep Learning Animals Oryza Hemiptera Male
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Comparative analysis of attentional mechanisms in rice pest identification.

Scientific reports Jul 1, 2025
Accurate detection of rice pests helps farmers take timely control measures. This study compares different attention mechanisms for rice pest detection in complex backgrounds and demonstrates that a human vision-inspired Bionic Attention (BA) mechani...
Bionics Oryza Attention Humans Neural Networks, Computer
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CATransU-Net: Cross-attention TransU-Net for field rice pest detection.

PloS one Jun 25, 2025
Accurate detection of rice pests in field is a key problem in field pest control. U-Net can effectively extract local image features, and Transformer is good at dealing with long-distance dependencies. A Cross-Attention TransU-Net (CATransU-Net) mode...
Pest Control Algorithms Animals Oryza Insecta Image Processing, Computer-Assisted Neural Networks, Computer
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.

PloS one Jun 18, 2025
As one of the most critical post-replication modifications, N6-methylation (6mA) at adenine residue plays an important role in a variety of biological functions. Existing computational methods for identifying 6mA sites across large genomic regions te...
Neural Networks, Computer Deep Learning Adenine ROC Curve DNA Methylation Genome, Plant Computational Biology Convolutional Neural Networks Oryza
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AI-imputed and crowdsourced price data show strong agreement with traditional price surveys in data-scarce environments.

PloS one Apr 8, 2025
Continuous access to up-to-date food price data is crucial for monitoring food security and responding swiftly to emerging risks. However, in many food-insecure countries, price data is often delayed, lacks spatial detail, or is unavailable during cr...
Zea mays Food Security Commerce COVID-19 Oryza Food Supply Crowdsourcing Humans Surveys and Questionnaires Artificial Intelligence Nigeria
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Deep Neural Network-Mining of Rice Drought-Responsive TF-TAG Modules by a Combinatorial Analysis of ATAC-Seq and RNA-Seq.

Plant, cell & environment Mar 31, 2025
Drought is a critical risk factor that impacts rice growth and yields. Previous studies have focused on the regulatory roles of individual transcription factors in response to drought stress. However, there is limited understanding of multi-factor st...
RNA-Seq Gene Regulatory Networks Transcription Factors Neural Networks, Computer Plant Proteins Stress, Physiological Gene Expression Regulation, Plant Oryza Data Mining Droughts Chromatin Immunoprecipitation Sequencing
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Artificial intelligence for sustainable farming with dual branch convolutional graph attention networks in rice leaf disease detection.

Scientific reports Mar 27, 2025
Rice is susceptible to various diseases, including brown spot, hispa, leaf smut, bacterial leaf blight, and leaf blast, all of which can negatively impact crop yields. Current disease detection methods encounter several challenges, such as reliance o...
Neural Networks, Computer Oryza Image Processing, Computer-Assisted Plant Diseases Artificial Intelligence Agriculture Deep Learning Plant Leaves
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Leveraging ML to predict climate change impact on rice crop disease in Eastern India.

Environmental monitoring and assessment Mar 8, 2025
Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for...
India Agriculture Climate Change Machine Learning Environmental Monitoring Crops, Agricultural Oryza Plant Diseases
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Origin traceability of agricultural products: A lightweight collaborative neural network for spectral information processing.

Food research international (Ottawa, Ont.) Mar 6, 2025
The natural conditions of various regions, including climate, soil, and water quality, significantly influence the nutrient composition and quality of agricultural products. Identifying the origin of agricultural products can prevent adulteration, im...
Agriculture Food Contamination Food Analysis Neural Networks, Computer Arachis Oryza Food Quality Crops, Agricultural
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