Real-time Iot Agriculture Platform & Smart Farm Control
Résumé: Year by year the technologies are developing in most domains and fields to have lower product cost, lower process time and more efficiency. In this thesis we will show how internet of things has improved smart farming and how we merged IOT in farming and water irrigation systems to have what we called precision agriculture and smart irrigation, and we will talk about Machine Learning one of decision-making techniques in smart irrigation. ML help to have best decision in what time and how much amount of water the soil and plant need and for that we use machine learning algorithms such as KNN, SVM, naïve bayes etc. In the project, a website is linked with a Raspberry Pi system. This innovative system is designed to benefit users, particularly farmers. It allows them to control various actuators both manually and automatically. These actuators play a crucial role in managing irrigation, which is facilitated through the integration of IoT (Internet of Things) materials and protocols.
Mots-clès:
Nos services universitaires et académiques
Thèses-Algérie vous propose ses divers services d’édition: mise en page, révision, correction, traduction, analyse du plagiat, ainsi que la réalisation des supports graphiques et de présentation (Slideshows).
Obtenez dès à présent et en toute facilité votre devis gratuit et une estimation de la durée de réalisation et bénéficiez d'une qualité de travail irréprochable et d'un temps de livraison imbattable!
Aucun fichier associé
Si le fichier est volumineux, l'affichage peut échouer. Vous pouvez obtenir le fichier directement en cliquant sur le bouton "Télécharger".
