Eleven Rivers participates in the mentoring of the “Hackathon” Ag Tech

From June 15 to 17 of this year, the event was held: “Hackathon Ag Tech” in the facilities of Los Mochis Convention Center (CUM), which consisted of a contest of a technological challenge focused on the sector agricultural for the benefit of the Sinaloan countryside.

Eleven Rivers participated in the mentoring of the participants, helping them to know the most important challenges of the agricultural sector of Sinaloa, exposed some of the cutting-edge technologies that already exist in the theme of the production of fresh products in other parts of the world, seeking to generate innovations through science and technology that make agricultural activity more productive and profitable.

The event counted with the participation of 250 students and entrepreneurs, who undertook the challenge for 54 hours, with the goal that with technology they can prevent risks in the Sinaloan field crops.

This is an initiative of Tomato Valley and the Government of Sinaloa to promote innovation within the agricultural sector, a contest for the development of applications, websites or electronics in which several multidisciplinary teams participate.

The absolute winner who took 30 thousand pesos was the Soca Firemap project, a mobile application and for the detection of soca burning by sensors sending a georeferenced alert / report to a central.

The second place and 20 thousand pesos, was for Target, a platform for the processing of satellite images to obtain information on planting area, rivers and detect any problems in the plantations.

Palo verde fumigabot, a rover type robot to automate fumigation inside the greenhouse and also keep track of the number of products ready for cutting, got the third place and 15 thousand pesos.

And tied in the fourth place and 7 thousand pesos each, Agora, which uses a sensor to measure humidity, electrical conduction, salinity and PH of the earth, sending the information to a central for decision making, and Madutec, which detects the degree of ripeness of the fruit by processing images from a camera using machine learning.

The participation of sponsors such as Liventia, AARFS, Coca Cola and Stereo1 was highlighted, as well as GIThub, Docker, Luxelare and Spiral media labs.