Agro-STAY : Collecte de donn\'ees et analyse des informations en agriculture alternative issues de YouTube
Laura Maxim, Julien Rabatel, Jean-Marc Douguet, Natalia Grabar,, Roberto Interdonato, S\'ebastien Loustau, Mathieu Roche, Maguelonne Teisseire

TL;DR
Agro-STAY is a platform that leverages NLP and language models to collect, analyze, and visualize YouTube data related to alternative agricultural practices, aiding understanding of self-sufficiency techniques.
Contribution
This work introduces Agro-STAY, a novel platform integrating NLP methods for detailed analysis of YouTube content on alternative agriculture practices.
Findings
Effective data collection from YouTube videos and comments.
Fine-grained analysis of agricultural practices using NLP.
Enhanced visualization of alternative farming techniques.
Abstract
To address the current crises (climatic, social, economic), the self-sufficiency -- a set of practices that combine energy sobriety, self-production of food and energy, and self-construction - arouses an increasing interest. The CNRS STAY project (Savoirs Techniques pour l'Auto-suffisance, sur YouTube) explores this topic by analyzing techniques shared on YouTube. We present Agro-STAY, a platform designed for the collection, processing, and visualization of data from YouTube videos and their comments. We use Natural Language Processing (NLP) techniques and language models, which enable a fine-grained analysis of alternative agricultural practice described online. -- Face aux crises actuelles (climatiques, sociales, \'economiques), l'auto-suffisance -- ensemble de pratiques combinant sobri\'et\'e \'energ\'etique, autoproduction alimentaire et \'energ\'etique et autoconstruction -…
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Taxonomy
TopicsAgriculture and Rural Development Research
MethodsSparse Evolutionary Training
