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Internet of Things in Precision Farming
Problem
Agricultural output will have to double to provide the necessary food, feed, fiber and fuel to meet the needs of the growing world population in a sustainable manner. Precision agriculture, i.e. the optimal management of all crop production factors in time and space, is a paradigm which can contribute towards this goal. Precision Farming requires many soil and crop related information in order for the right decision to be taken in every step. All these information must be transferred from sensors that are on site to a central computer at farm’s office for post processing or at a vehicle moving in the field for real-time application.
Aim and Objectives
The aim of the current MSc Thesis is to investigate the possibility of data transmission from sensors related to agricultural practice to the “Cloud”. An application for mobile devices should be developed to ease access to this data from the user's side. In addition, the measured data can be integrated to a Farm Management Information System (FMIS) providing support to the farmer for decision making. New tools like Microsoft IoT Pack for Raspberry Pi 2 can be considered.
Qualification & Motivation
Basic knowledge on Software, Electronics, Measurements and Data Analysis.
