Agronielsen.com| Home Planet at Your Fingertips
Home Planet at Your Fingertips
Agronielsen.com | more productive crops
Summary
Monitoring, prediction and presentation of meteorological variables allows farmers to know time and viable conditions to establish a crop, generate strategies that mitigate the possible damages caused by events of drought, floods, frosts and others meteorologycal events that affect agricultural production. Likewise, meteorological knowledge facilitates and optimizes the application of agricultural supplies.
How We Addressed This Challenge
What did you develop?
Agronielsen.com is a web application designed for manufacturers and dealers agriculture companies, to gain the benefits of the computer science and big data from the field.
What does it do?
This App is checking the process technical in the crow and support the sales team taking care the cost effectiveness and mitigating the climate effect.
Currently in www. Agronielsen.com is a software-cloud agriculture system with 350 registers users that support technical process increasing the development and the effectiveness compare with the current tradition process.This Software Analyze the big data in real time and is available in disconnected internet environments also.
In www.agronielsen.com use data science and analysis platform to Google Data Studio product.
Why is it important?
Monitoring and prediction Meteorological Variables allows farmers to know the time and viable conditions to establish a crop doing strategies that mitigate the possible damages caused by events of drought, floods, frosts and others that affect the production. Likewise, Meteorological Variables knowledge facilitates and optimizes the application of agricultural inputs.i in another hand the Customer Value Proposition (CVP),
Through science and data analytics we want to impact the cost effectiveness of the manufacturer and dealers customers, measure the variables of WATER, CLIMATE and SOIL resources use it for take care the crop. Agronielsen balance the cost effectiveness and sustainability by mesuare the ecosystems.
What do you hope to achieve?
Experts on Climate Change (IPCC), agriculture, livestock and land use changes are responsible for 23% of the gas emissions that cause global warming. The climate impact and the greenhouse effect of the application of fertilizers represents around 11% of carbon emissions, if the application of the same is optimized we can reduce 15% of these emissions and volume of water for each kilogram of fertilizers.
Develops disease model algorithms based on environmental parameters collected from farmers' cloud-connected weather stations linked to the biology and life cycle of the disease to predict the onset and progression of diseases in crops.
How We Developed This Project
What inspired your team to choose this challenge?
We are motivated by the democratization of information to generate new applications that benefit agricultural holdings in balance with their climate impact.
How We Used Space Agency Data in This Project
We use javascript libraries of meteomatics and openweathermap, making queries parameterized by latitude and longitude and obtaining responses in JSON.
Meteomatics is an official nasa data source. We are able to integrate any data source, datasets, APIs that receive latitude and longitude parameters and javascript libraries for browsers.
To make the integration between DataStudio and the consumption of APIs, we develop custom connectors through Google Apps Script, allowing us to configure the Latitude and Longitude parameters in the call to each data source. We automate the data capture process by these 2 parameters, we process responses in JSON and create the dashboard for data visualization in real time.
Project Demo
Demo Browser > https://www.agronielsen.com/encampo/public/consultaclima
Demo Report > https://bit.ly/33suiU0
Demo Video > https://youtu.be/vsUJXpfcyHs
Pitch youtube > https://youtu.be/XJHDH_ItTHY
Demo Frontend: | Facebook | Linkedin
JSON Response (example):
Demo report:
Some screenshots:
Data & Resources
Using GPM Data for Water Resources, Agricultural Forecasting & Food Security > https://gpm.nasa.gov/applications/water
All Sky Insolation Incident on a Horizontal Surface, Precipitation, Relative Humidity at 2 Meter, Temperature at 2 Meters, Dew/Frost Point at 2 Meters, Wet Bulb Temperature at 2 Meters, Maximum Temperature at 2 Meters, Minimum Temperature at 2 Meters, Temperature Range at 2 Meters, Wind Speed at 10 Meters, Maximum Wind Speed at 10 Meters, Minimum Wind Speed at 10 Meters, Wind Speed Range at 10 Meters, Wind Speed at 2 Meters, Maximum Wind Speed at 2 Meters, Minimum Wind Speed at 2 Meters, Wind Speed Range at 2 Meters, Wind Speed Range at 50 Meters. > https://power.larc.nasa.gov
Soil moisture and monitoring > https://smap.jpl.nasa.gov/data
Meteomatics > https://www.meteomatics.com/en/agriculture
Openweathermap >https://www.openweathermap.org
NASA Prediction Of Worldwide Energy Resources > https://power.larc.nasa.gov
Moderate Resolution Imaging Spectroradiometer (MODIS) > land products and geophysical variables > https://modis.gsfc.nasa.gov/