Summary: Provide smart farming technologies and IoT for all type of greenhouses and farms.
Details: The project will consist in gathering greenhouses and/or farms sensors data into a central device that acts as an IoT gateway. Pest and Plant diseases data will be recorded to Azure storage and insight analysis using Machine Learning techniques will be used to classify the recorded diseases. An inference model will be generated and transmitted to the IoT Gateway (DE10-nano) for local and immediate determination of plants conditions to enable further control actions. The inference model will consist of neural networks parameters from which a neural network IP Core will be reconstructed in the FPGA portion of the cyclone V SoC device found in the DE10 board. The HPS side will handle the communication with the sensors and with the cloud, and the azure cli C libraries will be installed to enable the communication with azure cloud.
The project aims to minimize the time taken to manage the farm or greenhouse operations (data collection, analysis and insight, control actions) as well as to avoid the excessive use of chemicals.

Project Proposal

1. High-level project introduction and performance expectation

2. Block Diagram

3. Expected sustainability results, projected resource savings