Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for the agriculture industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 5 promising Artificial Intelligence Startups.
Heat Map: 5 Top Artificial Intelligence Startups
For our 5 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 5 interesting examples out of 72 relevant solutions. Depending on your specific needs, your top picks might look entirely different.
AGEYE Technologies – Stress Monitoring & Disease Detection
All the qualities that would normally be associated with a good farmer are slowly being transferred to machines via artificial intelligence (AI) based technology that aims to be as good as, if not better, than the best farmer. This means a careful examination of soil, weather, crops, and processes while continuously improving or rectifying any abnormalities. Stressed crops, due to soil or weather conditions and diseased crops have to be immediately separated from the product to ensure there is no contamination. The US-based startup AgEYE Technologies develops intelligent software and sensor solutions to improve the quality, predictability, and profitability of agriculture. They use a combination of machine vision, AI, and machine learning to detect pathogens and contamination for all the plants much faster than what humans can do themselves. Their solutions significantly save time and reduce the labor involved in scouting the farm for diseases and abnormalities.
HelioPas AI – Drought Intensity Tracking
Unlike floods or wildfires, droughts do not occur overnight. Prolonged shortages in water supply, less-than-average rainfall or precipitation, level and quality of surface water, and groundwater recharge all contribute to droughts. It is, therefore, vital for farmers to understand the situation in their own land. Depending on the severity of the condition, they can take various measures to mitigate losses due to droughts. German startup HelioPas AI develops technologies and solutions to help farmers deal with droughts in an informed manner. They use field data and run actuarial analytics to inform the farmer about drought insurance planning. Their AI-based soil moisture monitoring system allows the farmer to control irrigation and fight mildew and other threats related to moisture and dryness. Finally, they also offer yield forecasting services based on the soil moisture data of the farm.
Fasal – Monitoring Critical Parameters
AI is increasingly being used in agriculture in more parts of the world than ever before. Unlike in richer countries, agricultural holdings per farmer in poorer regions are significantly smaller. While this poses a challenge for automation through robotics, it is beneficial for automated monitoring as a lesser number of devices, with reduced bandwidths, is enough to capture all the farm data. AI-based solutions for the small farmer can potentially revolutionize the sector very quickly. Indian startup Fasal, a product of Wolkus, a ‘smart things’ developer, uses affordable sensors and AI to provide the farmer with real-time data and insights, remote access to all the information via multiple mediums, predictions about resource requirements including irrigation, sprays, fertigation, and other preventive measures. To add, the company’s sensor station is easy to implement for the small farmer.
OneSoil – Satellite Imaging & Analysis
The European Union makes available data collected from the Sentinel satellites for its Copernicus program. The free and open data has great potential for productive use in agriculture. Technology startups have taken the opportunity to convert this free information into high-quality AI-based solutions for the sector. Belarusian startup OneSoil develops a suite of solutions to help the farmer using the satellite data from the Copernicus program. They can detect cloud types, allocate field boundaries, identify several crops in the middle of a season, and determine a plant’s sowing date and its phenophase. This data informs the farmer about his land and soil, when and how much to fertilize, scouting data from the fields, and weather information.
Root AI – Intelligent Navigation
The ability to create perfect conditions for crops to grow to allow agriculturalists to design and farm indoors integrates the vast array of technologies to work seamlessly with the plants. Labor shortages, distressed soil quality, and depleted water resources have all made indoor farming more viable for the future. While AI is being developed for outdoor fields, where most of the world currently farms, their insights and abilities in controlled environments are amplified. The US-based startup Root AI develops AI-based automated and robotic solutions for indoor farmers. Their AI systems can see plants and decide if they are ripe, spoilt, or growing. Their patent-pending fruit grippers can navigate through the complex vines and tangles to pick the ripe fruit without disturbing anything else. In addition, their robots have 3D sensors that allow it to navigate through the farm in an optimal fashion.
What About The Other 67 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 5 startups showcased above are promising examples out of 72 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.