Agro360
We are dedicated to disrupt agriculture from London to the Caribbean by creating technological solutions based on artificial intelligence to improve agricultural productivity in order to support the fight against hunger and poverty worldwide and the fulfillment of the United Nations Sustainable Development Goals (SDGs) 1, 2, 8 and 13.
Why we do it?
According to estimates by the Food and Agriculture Organization of the United Nations (FAO), 25 to 40 percent of world’s food production is lost due to diseases that affect crops and the effects of climate change, reducing agricultural productivity and as a consequence of this, 793 million people suffer from chronic hunger and malnutrition around the world.
Agro360 at a glance
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Because we are compromised to resolved this issue of global impact, we have developed our social model approach through academic education at the Hult Ashridge Executive Education thought Hult Prize in Ashridge, England and The Clinton Global Initiative to leverage business smarts to save agriculture and create economic, social and environmental impact in the communities that we reach.
Data is power
Through the use of sensors, climate information and artificial intelligence Agro360 analyzes the current conditions of the crops and predicts changes in environmental factors that could arise the appearance of diseases to provide timely information for decision making.
Farms reached
Hectares cultivated
Impacted families
Trained youth
Mobile App
The equivalent knowledge of hundreds of agriculture experts within the reach of poor farmers
Powered by Artificial Intelligence
Dashboard
Know the status of the crop at all times. Information such as: the weather, temperature, relative humidity in the area, the hours of sunlight planned for the area and other relevant data will never go unnoticed.
Scanner
Through the camera of a mobile device or a drone (optional), Agro360 captures and analyzes in real time images of any anomaly detected in the plants.
Identification
Hand in hand with Artificial Intelligence (AI) proactively obtain identification of the diseases that are affecting the crops.
Results and Recommendations
Receive timely information, current status, phase in which the disease is and recommendations for the effective treatment based on the specific conditions of the crop.
Our results
A more productive, sustainable and inclusive agriculture.
Productivity increase
Reduction of disease related losses and increase in productivity of up to 35%.
Resilience to climate change
Real-time weather forecast which helps to combat the negative effects of climate change.
Reduction of agrochemicals
Thanks to the knowledge of the chances of getting a disease in real time, farmers only use agrochemicals when they really need them, reducing the use of these polluting chemicals by up to 40%.
