Precision agriculture is about smart farming – using technology to help farmers use less for more growth. For example, thanks to remote and smart sensors, drones, GPS sensors and guidance technologies, farms can use less water, soil, herbicides and pesticides. The precision farming market is expected to grow from $ 8.5 billion this year to $ 15.6 billion by 2030 due to concerns surrounding climate change and the environmental impact of agriculture.
Solinftec, which provides end-to-end agriculture solutions, today announced a $ 60 million growth investment round. The company deploys sensors, computers and display farm equipment to provide customers with real-time, in-field data on crops, equipment, inputs and weather conditions.
Its operations management software, powered by an AI platform called Alice AI, allows customers to best schedule and organize their farm operations and make real-time decisions and adjustments. Ellis uses a range of AI data science tools, including machine learning, monitoring and unsupervised identification algorithms, computer vision and other specific algorithms such as logistics, geo-positioning and clustering, in addition to cognitive identification modules.
“The world is facing a huge global challenge – to increase food production by about 60% to feed the world’s population by 2050, but there is no land expansion and we need to reduce climate and environmental impact,” said Britaldo Hernandez, CEO of Solinftec. Said. “In our opinion, there is a need for smart farming combining AI and robotics.”
Agricultural variables find structure with AI
Solinftec’s new funding will enable the company to expand its digital farm operating system, operating over 27 million acres in Brazil, the US and Latin America. The company claims to serve 85% of Brazil’s sugarcane growers, one of the top five grain producers in Brazil and one of Gromark, North America’s largest agricultural cooperatives.
For example, for spraying pest-control chemicals or other compounds, Solinftec combines data collected from devices with weather data to give farmers a real-time understanding of whether they are spraying according to product labels / prescriptions – which specifies that What are the conditions. Required for its application.
“If conditions change throughout the day, we will let them know as soon as possible and give them an understanding of what adjustments they should make,” Hernandez said.
He explained that variables in agricultural operations are constantly changing. “Most of them we can’t control the weather, so AI is crucial for making real-time decisions,” he said. “With accurate data collection, AI can perform accurate calculations and optimize these operations, allowing for more accurate agriculture and faster decision-making.”