Hydroponic Harvest Information Infrastructure

AS020 »

A controlled environment minimizes the weather crop dependency, consequently, the hydroponic greenhouses increase the harvest quality and water management. Despite the benefits, this kind of crops requires a better knowledge in physiology and vegetal nutrition to understand the nutritional balance in order to implement chemical corrections in short-term periods. In addition, it is possible compare similar crops in a distributed way, but this fact does not allow and effective work from the field engineer. If the field engineer has access to crop information and its environment, he can apply preventive and corrective protocols to reduce toxicity damage from an element or improve the plant features for best product obtaining. Researchers would contrast between their results and farmers crops to develop action protocols and enhance vegetal genes. The data handling is the main task in this proposal. To get better workflow, an infrastructure that allow share information for crop analysis while engineer arrive and act will be implemented. In one hand, the main station, composed by DE10-Nano and signal conditioners, brings and interface between the user and cloud services to upload crop data. In the other hand, the cloud services allow remote interaction between the engineer and the crop without presential stand.
The station would use the FPGA to control the data acquisition and flow while the HPS monitors and interfaces the data with cloud services. The signal conditioners reduce the acquisition challenges for the pH, conductivity, relative humidity, light intensity, etc. From the sensors, the cloud services allow the storage, interpretation and provides Machine Learning tools to improve the information meaning.

Development of Intelligent Food Supply Chain Management System

AP028 »

This project proposal presents an Intelligent Food Supply Chain Management System for covering from field to end-user. This project is based principally on THREE (3) different application areas such as Food Plantation, Food Warehouse, and Food Transportation using a smart intelligent system. This system seeks to support and to reduce food waste by improving the reliability of the technology from manual detection to automated detection system designed especially for real-time monitoring using IoT implementation on growth and maturity level of fruits in the Food Plantation, classification of fruits grading in the Food Warehouse and also fruits controlling and tracking during Food Transportation operation. The system is implemented on a FPGA-SoC Intel Cyclone V SoC available on DE10-Nano Kit, Microsoft Azure, and Analogue Devices module to acquire the sensors reading and control the actuators to maintain the suitable environment in three different application areas. The proposed system has high-performance requirements covered by FPGA-SoC since it has concurrency and low power consumption, making it suitable for this intelligent food supply chain management system in smart agriculture applications.

ITHS, Interactive Temperature and Humidity System

PR021 »

這個專案預計製造了一個新的HVAC系統，此系統可針對每個人的特定喜好及感受來調整輸出之設定，使同一場域內不同位置之使用者都能感受到舒適的溫度，並保持能源成本最小化。
這個專案使用DE10-Nano Cyclone V SoC FPGA Boar作為主控制器，利用Humidity and temperature sensor獲取環境之資訊，如溫度與濕度，而太陽輻射資訊經由太陽能板或Ambient Light Sensor接收，將類比電壓透過Analog Devices plug-in boards的DC1012A-A轉換為數位訊號輸入至控制板，除此之外，此專案也會藉由感測器讀取人體之體溫、心跳速率等資訊並將其透過藍芽或Wifi module輸入至控制板，最終將獲得之資訊利用Microsoft Azure IoT儲存於雲端或是進行大數據的分析與運算，在使用者感受的方面，本專案預計設計一操作簡單之APP介面，供使用者選擇其目前對於溫度的感受以及自身的喜好設定。

Smart Farming Stick

AP040 »

Agriculture plays a vital role in Indian economy.India ranks second worldwide in farm outputs.Though crops are facing problem like pests, climate change, soil erosion, diseases water scarcity and this led to a great loss.Farmers who are able to diagnose these diseases are able to take actions on it.But for farmers who are not able to identity take improper actions.This destroys all the crops.At last we see there is huge loss of time, money and labour. Analysing the problem which farmers have been facing of years, we needed to come up with solution in which human interaction is minimal.Smart farming have already made its place in the society, to add to that we have come up with this improvised smart farming technique.Smart Farming Stick (SFS) by using these techniques our system will work as a guide, to assist the farmers by giving information.Farming is about risk calculation – But what if the risk can be calculated and cured beforehand.Analysis can help you with identifying the weakness and strength of the soil, resulting in more revenue generation and saving ample amount of time. Automated solutions and technology offer greater accuracy based on more efficient data collection and monitoring.

Wildfire Prevention - Way to Conserve Biodiversity

AP044 »

Background: From past decade, ecological imbalance is causing huge impact on biodiversity of the planet earth. To ensure sustainable future for our next generations, biodiversity conservation is an important task. According to the FAO's Global Forest Resources Assessment 2020, the world has a total forest area of 4.06 billion hectares (10.0 billion acres), which is 31% of the total land area. More than half (54%) of the world's forests is found in only five countries (Brazil, Canada, China, Russia and the USA). One among the major reasons of ecological imbalance is caused by wildfires. Human caused wildfires (Global warming, Electric line & Camp fire) and Natural wildfires (Lightning, Thunderstorms & Dead trees rubbing) are the types of wildfires. The wildfires in the above listed countries have greater impact globally. Uncontrolled wildfires cause huge threats. Fast spreading wildfires take lot of time to combat and result in huge loss of flora and fauna of the particular region and thus cause ecological imbalance. On average, more than 100,000 wildfires clear 9-10 million acres (3.6-4 million hectares) of land in the world every year. In recent years, wildfires have destroyed 12-13 million acres (4.8-5 million hectares) of land. Furthermore, there are ecological, economical & social impacts as well. Wildfires also causes rise in Global warming & respiratory disorders. There have been lot of concerns and discussions regarding this recently and the researchers are still in the process to find effective and ecofriendly, cost effective approaches to prevent and detect the occurrence of wildfire. At present there are systems that are practically implemented to detect the wildfire. These systems successfully detect forest fire but are inefficient to prevent them in advance. These systems are failing miserably to combat wildfires. Hence there is a need to raise a concern regarding the prevention of wildfire by observing the climate changes in the region and monitoring the forests. We believe our approach to this problem helps in addressing this global concern to help conserve the rich culture of wildlife.

Sustainable Agriculture:Smart Farm For Biodiversity preservation in South-Cameroon

EM016 »

The project uses a FPGA kit and sensors to collect soil pH, soil moisture, soil temperature and soil NPK in smart farm to improve agriculture data collection and analysis

农作物生长环境数据探测器

PR031 »

项目将开发一种农作物生长环境数据探测器，使用云连接套件并搭载ADI提供的土壤水分、pH 值和温度测量评估板和3通道光检测评估板，去田园的农作物之间采集光、水分、温度、湿度、土壤pH值等数据，同时定位采集地点，将生长环境数据连同位置等信息通过Wi-Fi模块上传到Azure LoT。其定位将通过UWB定位模块实现。在云连接套件中，Cyclone V的FPGA部分主要用于数据处理、无线通信等，而HPS部分主要用于控制从设备、执行算法，当然这二者之间可以互补，项目将逐步优化，把需要反复执行的数据处理等工作尽量交给FPGA部分，HPS部分则侧重协调调度和控制。本项目的预计使用场景是大规模大棚种植园。

基于FPGA的手语翻译系统

PR032 »

Early Warning Alert System for Forest Fires

AS030 »

We are proposing a low-cost and low power wide-area sensor network that will quickly alert the authorities in case of a forest fire. The project will utilize a mesh network of low-power LoRa transmitter nodes connected to Temperature sensors. The network will be inactive until the temperature at any one node goes above a programmable specified limit, in which case the particular node will send an alert to the FPGA through the network. The FPGA will decide if the alert is real based on fire data modeling of the sensors and alert the authorities with the exact location of the fire.

Self-driving Floating Waste Collector

PR036 »

Our project will be a self-driving boat that collects garbage floating on water. The boat will have a camera mounted on it, which sends image captures to the DE10-Nano board to analyze where, in relation to the boat, the garbage is. The board then controls the motors of the boat to drive it to the waste and picks it up. There will be a Wi-Fi system built-in so that the board can send live video feedback to a connected PC, while also receive commands from the PC to control the boat, in case it goes out of control. The garbage collection is, under most circumstances, fully automated. It uses sensors to detect if the collection is approaching its max capacity, and will return to a set location near land if it does, to dump out the trash and prepare for the next round of garbage collection. We aim to utilize edge computing for image recognition on objects floating on water, to distinguish whether they are actually garbage or not, confirm their location, and compute how to get there.

project Green-Globe

AP062 »

Over-Watering and Under-Watering are the two concern-able scenarios actively addressing the water conservation which is one of the major global challenges. There are trained gardeners who can water the plants regularly and maintain the gardens and other landscape plants effectively. But how much we control the water wastage from human hands while watering plants, there is a considerable error happening always, and we can control it by autonomous systems. Project "Green-Globe" is our idea to create some momentum in addressing this issue. We're focusing to develop an authentic system with using which we can utilize the natural resources ( i.e., Water) properly to grow the plants effective and efficiently. So, the idea is to develop an autonomous irrigation system to water plants with which we can automatically water the plants by understands and calculating the primary parameters like plant genetic information, moisture in the soil, humidity in atmosphere and secondary parameters like temperature and electrical conductivity of soils. The realistic approach of our project comes in a long run, but it will create a benchmark for the initiation of connecting the edge technology of INDUSTRY 4.0 with global challenges of today. Project Green-Globe delivers the essential requirement i.e., growing the plants effectively and efficiently by regulating the Over-Watering and Under-Watering. The outcome also addresses to saving the water and conscious usage of the water while watering plants at houses and other areas.
The developed system is able to regulate the water wastage, and is able develop ML and AI models from understanding the plant's genetic information and the rate of it's growth, and also using climatic conditions which were collected via Internet APIs and cloud. The developed models helps to perform better autonomous irrigation methods, and could also be helpful at concepts of terraforming other planets.

Digital Twin System Applied to Mobile Robots

PR038 »

This project proposes a digital twin system design method applied to mobile robots.
This method enables synchronized actions between real and digital mobile robots. The
real robot system designed in this thesis uses DE10-Nano board as the main hardware controller, which has the advantages of low cost and low power consumption. The digital robot is built in the Gazebo simulator, allowing the robot simulation can have high-quality rendering effects and high-performance motion performance.
In this project, both real and digital robots use Robot Operation System (ROS) as the main operating system. At the same time, the digital twin robots will also transmit data and communicate through ROS. By collecting the motor voltage and current signals of the real robot and the encoder speed, the fuzzy clustering (FC) method is used to establish a fuzzy identification system of the motor. Then applies this motor fuzzy identification system to a digital robot, so that the digital robot can simulate the state of a real motor.