| Titre : | Smart Irrigation System for Connected Farms Application to palm farms |
| Auteurs : | Mohamed Gouaned, Auteur ; Soheyb Ayad, Directeur de thèse |
| Type de document : | Monographie imprimée |
| Editeur : | Biskra [Algérie] : Faculté des Sciences Exactes et des Sciences de la Nature et de la Vie, Université Mohamed Khider, 2020 |
| Format : | 1 vol. (72 p.) / ill. / 29 cm |
| Langues: | Anglais |
| Résumé : | Irrigation of palm trees is a , delicate and costly process at the same time from a financially and physical point of view and affects the annual yield of these trees, for this we suggest in our project the exploitation of artificial intelligence in the irrigation process as it determine s the time and amount of water needed to irrigate the farm and control the irrigation of a large number of palm trees, which makes it easier for farmers to rationalize water and energy consumption and improve the quality of their products. |
| Sommaire : |
General Introduction .................. 1
1 Generalities on the Internet of Thing Introduction ...........4 History of Iot ............4 Definition of IoT ........5 1.3.1 IoT architecture building blocks .......................7 1.3.2 Things, sensors and controllers ..................................8 1.3.3 Gateways and data acquisition ......................................9 1.3.4 Edge analytics .................................... 10 1.3.5 Data centre / Cloud platform .................................. 11 Intelligence in IoT ................................ 12 Applications of IoT ......................................... 12 1.5.1 Consumer applications .............................................. 13 1.5.2 Commercial application ................................................ 14 1.5.3 Industrial applications ................................... 16 1.5.4 Infrastructure applications .................................. 17 Conclusion .................................................................. 18 2 Smart Agriculture and Related Works Introduction ............................... 20 The use of water in agriculture .............................. 20 Precision Farming /Agriculture ......................... 22 2.3.1 Emerging technologies ....................... 22 2.3.2 Precision Agronomics .......................... 24 Comparison of related works .............................. 25 2.4.1 AI-Based Yield Prediction and Smart Irrigation............... 25 2.4.2 Smart irrigation system using internet of things .............. 27 2.4.3 Smart Irrigation System: A Water Management Procedure ............ 28 2.4.4 Comparison ............................................... 29 Conclusion .................................. 31 3 System design Introduction ................... 33 Smart system to optimize water consumption ..................... 33 3.2.1 General Architecture ......................... 34 3.2.2 Detailed architecture............................................. 35 Data and its handling process ............................. 38 3.3.1 Data used ....................................................... 38 3.3.2 Dealing with data .................................... 42 Web Portal .......................................... 48 3.4.1 Use case diagram...................................... 48 3.4.2 Sequence diagram .......................................... 50 Conclusion ..................................... 53 4 System implementation Introduction ................................... 55 Programming language (python)........................... 55 4.2.1 What is Python? ............................................ 55 4.2.2 Django ....................................................... 56 Development tools ................................. 56 4.3.1 PyCharm .......................................................... 56 4.3.2 IBM SPSS statistics ................................. 57 Web application .................................... 57 4.4.1 Home page .............................................. 57 4.4.2 Automated irrigation ............................ 59 4.4.3 Statistics ........................................... 60 4.4.4 Logs ............................................ 61 4.4.5 Farm information ............................. 62 4.4.6 Client profile ........................................... 62 4.4.7 The Admin web page ............................ 63 CASE STUDY ............................................ 64 4.5.1 Data ..................................................... 64 4.5.2 Artificial neural network ................................ 65 4.5.3 The law of learning ................................... 66 4.5.4 Experimental results .................................. 66 Conclusion ........................................................... 68 General Conclusion ............................................ 69 |
| Type de document : | Mémoire master |
Disponibilité (1)
| Cote | Support | Localisation | Statut |
|---|---|---|---|
| MINF/584 | Mémoire master | bibliothèque sciences exactes | Consultable |
