According to Food Agriculture Organization, by 2050 the world population will outnumber 9 billion people; it will be a must to increase food production by a 70%, compared to 2009 performances.

At the same time, farmers are striving to increase crops/farms production while:

  • maximizing profits and minimizing costs without sacrificing product quality
  • reducing waste of natural resources and use of chemicals, having a higher focus on sustainability to reduce environment impact

So, the motto here is Produce more with less.

Agriculture 4.0 arises in this context with the aim of better management of the different crops/farms, predicting the health of the plants and their needs, keeping track of the processes carried out and the data obtained in order to improve production. The Precision Farming technique is the key which gives farmers a boost to face and win this challenge.

The purpose of the thesis is to explore the applications of the Precision Farming technique, through the use of IoT devices and the support of an AI in order to develop a platform that helps the farmer make decisions and act correctly, consistently and consciously.
In this way, thanks to the platform, it will be possible to proactively suggest the different actions to be undertaken, for example recommending when it’s best to irrigate the field in order to optimize to exploitation of the resources (such as water, electricity to power up irrigation system, …).

The following steps are planned:

  1. Review of the Topic through the analysis of previous studies, works, researches and strategies applied to operate in the different use cases, in order to evaluate the functionalities offered by the current solutions.
  2. Analyze the Market Demand, interviewing potential customers to be aware of their goals in order to discover their needs and daily challenges and find out new improvement opportunities
  3. Definition of Strategies to perform an efficient design and implementation of a prototype which will fulfil the stakeholders’ needs, exploiting the information gathered in the previous steps.
    This will result into the definition of the use cases.
  4. Design and Implementation of the prototype accordingly with the strategies built in the previous step using Microsoft’s technology. There will be a higher focus on the IoT devices configuration, on the modeling of the AI, on the API which connects them all and on the platform, where the data and the processes will be display.
  5. Evaluation (if possible) of the proposed solution will be tested with the stakeholders in a scenario meant to estimate the efficiency, the efficacy and the usability of the prototype.


Gaetano Prudente

Thesis Details

Luigi De Russis
Cluster Reply Srl
Simone Agostini, Giovanni Campolo
Master Degree in Computer Engineering