How AgriTech Startups Are Leveraging AI To Maximise Yields

The BBC recently featured an article on Felix Collins, the founder of Full Circle Biotechnology, who is using AI to improve the efficiency of insect farming. Collins’s goal is to create eco-friendly alternatives for animal feed by rearing black soldier fly larvae. While insect-based feed offers environmental benefits, it is still more expensive than soy-based alternatives.

To address this issue, Full Circle is using AI to optimise production processes by analysing various factors such as temperature and food quantity. However, there are concerns about AI’s misuse and overuse, emphasising the importance of transparent implementation in agricultural innovation.

AI has become strikingly prevalent in various industries and is revolutionising traditional practices, from healthcare to finance. Similarly, AI-driven technologies are transforming farming methods, from crop monitoring to livestock management. With its ability to process vast amounts of data and make predictive analyses, AI presents opportunities for increased productivity and sustainability.


The Role Of AI In Agriculture And Farming


Artificial Intelligence is revolutionising agriculture by improving crop yields, predicting weather patterns, and optimising resource management. With AI, machines can autonomously analyse soil conditions, monitor crop health, and even harvest produce. Farmers can make data-driven decisions to increase efficiency and sustainability, addressing challenges such as rising costs and environmental concerns.


How Is AI Used In Agriculture?


Crop Health And Soil Analysis:

AI analyses soil data from sensors and images to assess soil health and customise fertilisation needs, reducing waste and improving crop yields. Additionally, AI-enabled drones monitor plant health, detect stress or diseases early, and predict yield accurately, aiding in harvest planning and logistics.


Livestock Management:

AI monitors livestock health indicators, such as temperature and activity levels, enabling early detection of health issues. In dairy farming, for example, AI improves milk production efficiency by detecting cow health issues.


Autonomous Machinery:

AI-powered machinery, like self-driving tractors and robotic harvesters, improves farming efficiency and precision. By using GPS and AI for navigation and analysis, machinery spreads fertilisers and seeds precisely, reduces wastage, and predicts yields accurately.


AI In Farming Presents Sustainability Opportunities


AI promotes sustainable farming practices by optimising resource usage, enhancing crop quality, improving soil health, and reducing greenhouse gas emissions. Though initial costs and potential job losses can be considerate drawbacks, AI’s benefits in efficiency and sustainability are significant, promising a revolution in farming practices for future generations.


AgriTech Startups Leveraging AI


AI-powered agritech startups are transforming farming practices by using artificial intelligence. These startups analyse large amounts of data, offer actionable insights to farmers, facilitate efficient management of resources, and provide precision farming techniques. By integrating AI technology, farmers can make data-driven decisions to achieve better profits and optimised sustainability.


Samudra Oceans


Samudra Oceans


Samudra Oceans, led by co-founders Alexander and Joyeeta, utilise AI and robotics to revolutionise seaweed farming for blue carbon credits. With a shared commitment to environmental sustainability and diverse cultural perspectives, they drive transformative solutions in ocean farming.

Samudra’s mission is ambitious: to remove 1 gigatonne of carbon from the atmosphere by 2033.

Through state-of-the-art technology and community empowerment, Samudra Oceans aims to create sustainable blue carbon ecosystems while fostering economic inclusivity.



Quantas Labs


Quantas Labs


Quantas Labs utilises AI technology to transform land management and environmental protection. Through AI-powered erosion prediction, data-driven insights, and sustainable solutions, Quantas empowers users with accurate erosion forecasts and actionable strategies.

Their adaptive models and customised data insights cater to diverse landscapes, ensuring effective erosion control. With a focus on empowering growth and global responsibility, Quantas shapes the future of land management by addressing the critical need for erosion control.






FruitCast simplifies yield forecasting with advanced AI, empowering farmers to make smarter decisions. Their platform offers comprehensive tools for crop prediction, collaboration, and management, ensuring efficiency and sustainability.

With real-time monitoring and auto reporting, FruitCast streamlines farm operations and maximises productivity. Joining the agritech revolution, FruitCast paves the way for data-driven farming practices, enhancing yield, reducing waste, and promoting sustainable agriculture.


Earth Rover


Earth Rover


Earth Rover pioneers sustainable agriculture with CLAWS, an autonomous robot utilising AI and robotics to transform farming. CLAWS offers concentrated light weeding, reducing chemical dependency while enhancing productivity. Equipped with advanced technologies, it scouts fields, controls weeds, and provides real-time data analysis.

Supported by key investors and partners, Earth Rover aims to revolutionise agriculture, making fresh, chemical-free produce accessible to all.






CropSafe provides modern financial tools for farms, offering a user-friendly platform for grain management. With AgPrices, the largest grain exchange marketplace in the US, farmers can access real-time grain data for over 2,000 locations.

CropSafe’s intuitive interface enables farmers to stay informed with timely alerts on grain prices, ensuring they sell at the best rates. Trusted by farmers nationwide, CropSafe streamlines operations and maximises profits.