CROPS YIELD PREDICTION BASED ON MACHINE LEARNING MODELS CASE OF WEST AFRICAN COUNTRIES Lontsi Saadio Cedric, Wilfried Yves Hamilton Adoni, Rubby Aworka, Jérémie Thouakesseh ... on three different machine learning models: multivariate logistic regres- sion, k-Nearest Neighbor, and decision tree models. Multivariate logistic
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DetailsThese models have been shown to yield good performance, using in-context learning, even on tasks and languages they are not trained on. However, their performance on …
DetailsThis 25k sentence parallel text corpus facilitates French-to-African machine translation research. It contains 23k aligned sentences in French and Ewe as well as 53k parallel units in French and Fongbe. ... – Multilingual models need tailored optimization: As experiments in languages like Yoruba and Ewe show, techniques optimized for English ...
DetailsTo address the need for lightweight African language models, we introduce a small language model, InkubaLM-0.4B, trained for the five African languages: IsiZulu, Yoruba, Hausa, Swahili, and ...
DetailsCrops Yield Prediction Based on Machine Learning Models: Case of West African Countries Figure 10: 𝑅 2 scores of each crops with Ck-NN. Lontsi S. Cedric et al.: Preprint submitted to Elsevier ...
DetailsIn South Africa, computer scientists have built machine learning models to analyze the impact of racial segregation in housing. And in Nairobi, Kenya, AI classifies images from thousands of ...
Details🔧 Fine-Tuning: Fine-tune the Whisper model on any audio dataset from Huggingface, e.g., Mozilla's Common Voice datasets.. 📊 Metrics Monitoring: View training run metrics on Wandb.. 🐳 Production Deployment: Seamlessly containerize and deploy the model inference endpoint for real-world applications.. 🚀 Model Optimization: Utilize CTranslate2 for efficient model …
DetailsContributions: In this work, we proposed three machine learning models for predicting six crop yields: rice, maize, cassava, seed cotton, yams and bananas in nine West African countries: Burkina Faso, Gambia, Ghana, Guinea, Mali, Mauritania, Niger, Senegal, and Togo. The prediction is made at the country's level and is done throughout the year. We found …
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DetailsUnderstanding Model Numbers. Each Singer sewing machine has a model number, often a mix of letters and numbers. For domestic machines, this may include a letter prefix that indicates the series to which the model belongs. For example, Model 221 is commonly known as the Featherweight, whereas Model 301 begins with a different series.
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DetailsDownload 3D Machine Models. In this episode of Haas Apps Minute, Bryan walks us through the easy steps for downloading a 3D model of your machine from our website. Maybe you're working on shop layout, or figuring out how your CAD-modeled parts will fit into your machine. Whatever the case, the machine models, as well as all other pertinent ...
DetailsWithout granular datasets to ground truth models, African countries are already being left out of AI advances in some critical areas. For example, data-driven AI and ML models are revolutionizing weather prediction and early warning systems. ... Regional programs such as the African Masters of Machine Intelligence offer an interesting model for ...
DetailsAfrican languages, with their unique linguistic structures and vocabularies, remain underrepresented in the MT and NLP landscape (Joshi et al., 2020). This article explores the challenges and opportunities in creating and refining machine translation models and NLP tools tailored to the unique structures of African languages.
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DetailsScientists have recently unveiled a first-ever weather forecasting model using artificial intelligence (AI) and machine learning solutions to help vulnerable African countries build resilience to ...
DetailsThe Support Vector Machine model was utilized. They concluded that a lower RMSE (Root Mean Square Error) value must be produced when the prediction model's accuracy is good. ... a period of historical levels and correlation analysis for future predictions of PM2.5 levels in cities of South Africa and evaluate the models used to find the best ...
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DetailsThe Support Vector Machine model was utilized. They concluded that a lower RMSE (Root Mean Square Error) value must be produced when the prediction model's accuracy is good. ... a period of historical levels and …
DetailsUnderstanding Model Numbers. Each Singer sewing machine has a model number, often a mix of letters and numbers. For domestic machines, this may include a letter prefix that indicates the series to which the model …
DetailsAI: the African opportunity. From healthcare to agriculture, AI has the potential to transform life in Africa for the better. But with limited funding and talent on the continent, Africans still need to be persuaded that it is in their …
DetailsTRAIN A MODEL - Contribute a trained model and related code for your language; ANALYSIS - Contribute analysis of data/models for any African languages. You do not need any technical experience for this! If you're a linguist, we can pair you up with a machine translation practitioner and you can help contribute analysis
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DetailsOther machine learning approaches that have been applied to rainfall include: the support vector machine [31], decision tree [32], and adaptive neuro-fuzzy [33] models. In recent years, machine learning based models have played vital roles and have shown a remarkable ability to model and simulate the highly stochastic process and nonlinear ...
DetailsContributions: In this work, we proposed three machine learning models for predicting six crop yields: rice, maize, cassava, seed cotton, yams and bananas in nine West …
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