AIMC Topic: Agriculture

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Production of AFB1 High-Specificity Monoclonal Antibody by Three-Stage Screening Combined with the De-Homologation of Antibodies and the Development of High-Throughput icELISA.

Toxins Dec 25, 2023
To achieve accurate detection of AFB1 toxin content in agricultural products and avoid false-positive rates in the assays, the specificity of mAbs is critical. We improved the specificity of the prepared monoclonal antibodies by modifying the traditi...
Biological Assay Cell Line Antibody Specificity Antibodies, Monoclonal Starch Agriculture
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Different policies constrained agricultural non-point pollutants emission trading management for water system under interval, fuzzy, and stochastic information.

Environmental research Dec 10, 2023
Formulating suitable policies is essential for resources and environmental management. In this study, an agricultural pollutants emission trading management model driven by water resources and pollutants control is developed to search reasonable poli...
Uncertainty Water Resources Probability Water Quality China Agriculture Models, Theoretical Fuzzy Logic
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The Potential of AI and ChatGPT in Improving Agricultural Injury and Illness Surveillance Programming and Dissemination.

Journal of agromedicine Dec 5, 2023
Generative Artificial Intelligence (AI) provides unprecedented opportunities to improve injury surveillance systems in many ways, including the curation and publication of information related to agricultural injuries and illnesses. This editorial exp...
Language Agriculture Humans Artificial Intelligence
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Using multilayer perceptron and similarity-weighted machine learning algorithms to reconstruct the past: A case study of the agricultural expansion on grasslands in the Uruguayan savannas.

Integrated environmental assessment and management Nov 17, 2023
Changes in land use and land cover (LULC) have significant implications for biodiversity, ecosystem functioning, and deforestation. Modeling LULC changes is crucial to understanding anthropogenic impacts on environmental conservation and ecosystem se...
Neural Networks, Computer Agriculture Environmental Monitoring Machine Learning Algorithms Biodiversity Uruguay Conservation of Natural Resources Grassland
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The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models.

Scientific reports Nov 14, 2023
Satellite remote sensing is widely being used by the researchers and geospatial scientists due to its free data access for land observation and agricultural activities monitoring. The world is suffering from food shortages due to the dramatic increas...
Triticum Agriculture Logistic Models Machine Learning Neural Networks, Computer
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Leveraging three-tier deep learning model for environmental cleaner plants production.

Scientific reports Nov 9, 2023
The world's population is expected to exceed 9 billion people by 2050, necessitating a 70% increase in agricultural output and food production to meet the demand. Due to resource shortages, climate change, the COVID-19 pandemic, and highly harsh soci...
Seedlings Agriculture Seeds Humans Pandemics Deep Learning
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Advanced deep learning techniques for early disease prediction in cauliflower plants.

Scientific reports Oct 27, 2023
Agriculture plays a pivotal role in the economies of developing countries by providing livelihoods, sustenance, and employment opportunities in rural areas. However, crop diseases pose a significant threat to both farmers' incomes and food security. ...
Disease Management Agriculture Empirical Research Drug-Related Side Effects and Adverse Reactions Humans Deep Learning
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Amharic political sentiment analysis using deep learning approaches.

Scientific reports Oct 20, 2023
This study delves into the realm of sentiment analysis in the Amharic language, focusing on political sentences extracted from social media platforms in Ethiopia. The research employs deep learning techniques, including Convolutional Neural Networks ...
Humans Ethiopia Deep Learning Sentiment Analysis Agriculture Language
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Multispectral Plant Disease Detection with Vision Transformer-Convolutional Neural Network Hybrid Approaches.

Sensors (Basel, Switzerland) Oct 17, 2023
Plant diseases pose a critical threat to global agricultural productivity, demanding timely detection for effective crop yield management. Traditional methods for disease identification are laborious and require specialised expertise. Leveraging cutt...
Plant Diseases Neural Networks, Computer Electric Power Supplies Algorithms Agriculture
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LULC change detection using support vector machines and cellular automata-based ANN models in Guna Tana watershed of Abay basin, Ethiopia.

Environmental monitoring and assessment Oct 17, 2023
Recurrent changes recorded in LULC in Guna Tana watershed are a long-standing problem due to the increase in urbanization and agricultural lands. This research aims at identifying and predicting frequent changes observed using support vector machines...
Ethiopia Environmental Monitoring Geographic Information Systems Support Vector Machine Cellular Automata Conservation of Natural Resources Agriculture
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