Since the COVID19, spread all over the world by the beginning of this year, the main concern for the countries was to stop it spread through the population, the most effective way to stop was declared a global lockdown, all the countries in the world decided to close their borders and allow just humanitarian flights, importation and exportation activities in order con maintain the economy and guarantee food security. However, if we look deep in the regions, we will face inside the countries the problems that actually are handled to transport food and farm products.
Analyzing data from socioeconomic data and application centers (SEDAC), we identify that several regions on the planet have no access to primary and secondary roads, making it difficult for the communities access for food as well.
design available in slide #1: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
Part of our purposes is to focus in a long time solution, we know for FAO information that despite the spread of the COVID19, having access to food it’s been a worldwide issue,
SUSTAINABLE DEVELOPMENT GOALS TO ACHIEVE.
As we know, achieve sustainable development goals is our main purpose, regarding the plan to build a better world for people and our planet by 2030, we focus in four of the goals, which are:
SUSTAINABLE DEVELOPMENT GOAL 2.
End hunger, achieve food security, improved nutrition, and promote sustainable agriculture.
SUSTAINABLE DEVELOPMENT GOAL 7.
Ensure access to affordable, reliable, sustainable, and modern energy for all.
SUSTAINABLE DEVELOPMENT GOAL 11.
Make cities and human settlements inclusive, safe, resilient, and sustainable.
SUSTAINABLE DEVELOPMENT GOAL 12.
Ensure sustainable consumption and production patterns.
How we want to improve the project
A large amount of data is handled, in this way more accurate decisions are made. By means of data management software, some kind of relationship of these data is organized and finally sought by means of the clustering method and thus perform data mining.
Subsequently, with the data collected, a neural network is built that has the possibility of making decisions when assigning routes for the transport of containers and the distribution of food, this in order to optimize the waiting times for producers and consumers.
The challenge food for thought was chosen because due to the COVID 19 a lot of people in our country have starved while so many farmers had to throw tons of food. We used the datasets from the Socioeconomic Data and Application Center (SEDAC), A Data Center in NASA's Earth Observing System Data and Information System (EOSDIS). We also use Geographic Information Systems (GIS) as QGIS to analyze the dataset and generate maps of the relation between road distribution and croplands. Understanding in this way where are the isolated human settlements from nationals roads. Next to this, we designed a prototype of a container that can perform two functions: portable greenhouse and food container. It also is energy-autonomous, and smart. Because it has sensors that facilitate irrigation and control of the temperature of the crop while the energy cocomesme from a solar panel. That was greats achiev ements, but we also have some problems finding the correct data for our analysis and using the analysis software because our computers do not have enough power to work with the data in the best way. However, we are so inspired by this project that we want to continue working in improvements in the prototype, and a code to an automatized analysis of the data in real-time.The challenge food for thought was chosen because due to the COVID 19 a lot of people in our country have starved.
P.G.S
Portable GreenHouse Solution
Technical Information
With a spherical shape, this container can perform two functions: portable greenhouse and food container, which allows it to maintain an optimal atmosphere for plants if required.
design available in slide #3: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
It has a very high level of autonomy because it can generate energy from solar panels incorporated in its armor, these plates can be removed from the structure if necessary. With enough energy, the container can perform its functions for a long period, also, it was made to be in all kinds of areas and thus be able to carry food to all corners of the world.
There are places in the world where access is very difficult or the arrival period is long, for this reason, while the next humanitarian aid returns somewhere in the world, the container can act as a portable greenhouse. Due to its characteristics, it is completely hermetic and thus protects and maintains the yield of the crops thanks to the LED lights on the top. These lights are supported by side mirrors to illuminate hidden areas.
The greenhouse is hydroponic, in order to save space, at the bottom, there is a small stream of water that is repeatedly recycled. Once the temperature drops, the water goes down the walls of the now greenhouse and falls back into the storage tank and thus repeats the cycle successively.
Analyzing the capabilities of the container, such as pressurization and energy generation from the sun, it can be in space environments, which means that it is capable of supporting colonization missions on the Moon and Mars, and of course, in the low Earth orbit, supply missions to the International Space Station.
design available in slide #3: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
Electronics
To take advantage of all the benefits of PGS, it is important to have several systems that facilitate irrigation and control of the temperature of the crop.
There are three important systems:
design available in slide #3: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
Each of them has their related sensors and control action according to the environment's conditions.
Components
Distribution of the Systems
design available in slide #4: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
This represents the area of the crops 120 m2
We divide into three sections to have more accurate control of the plantation
Each section has:
1 Humidity and temperature sensors
1 LDR
LED Grow light
1 PH sensor
1 ESP32
In the second section is located the solar irrigation pump
Thanks to ESP Now communication protocol will be possible to connect the ESP 32 between them to receive and send data. ESP32-2nd section is the master microcontroller is in charge to receive, analyze the information, and decide with control action will be realized.
ESP Now protocol is similar to the low-power 2.4GHz wireless connectivity and allows to connect the ESP32 to each other.
To every ESP32 will be connected to the sensors, and the ESP32-2nd section will read the data and make a decision according to the programming.
design available in slide #5: https://drive.google.com/file/d/16jq2pzlseNCmIHJxRzV19cC8QQrErScl/view?usp=sharing
A perfect condition for the growth of the plant is between 14ºC and 30ºC, for that reason, we will consider this variable and the luminosity. We will check the temperature and if it's appropriate and it's the time to irrigate the pump will activate if the temperature is higher than the desired value ventilation will be on and irrigation will be off and if the temperature is lower than the desired value the irrigation and ventilation will be off. If the desired temperature is reached, the luminosity will be check, and if the luminosity is the desired or higher the wanted value the lights will be off and if the luminosity is lower than the set value the lights will be on.
For more info vist our website: https://bcspaceapp.delapieltiendavirtual.com/
Center for International Earth Science Information Network - CIESIN - Columbia University, and Information Technology Outreach Services - ITOS - University of Georgia. 2013. Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VD6WCT. Accessed 31 May 2020.
Ramankutty, N., A.T. Evan, C. Monfreda, and J.A. Foley. 2010. Global Agricultural Lands: Croplands, 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4C8276G. Accessed 31 May 2020.
SIPSA El servicio geográfico representa la georreferenciación del volumen de alimentos que abastecen a Bogotá, según departamento de origen 2013.:https://geoportal.dane.gov.co/mparcgis/rest/services/INDICADORES_SIPSA/Cache_SIPSADeptos_2013/MapServer
Vocación de uso de tierras en Colombia y área de cada categoria coordenadas: https://geoportal.igac.gov.co/contenido/datos-abiertos-agrologia