How AI is Transforming the Agritech Industry

Farming has advanced significantly from the days of manual plows and horse-drawn machines. With every year comes new technology that aims to increase efficiency and profit on the harvest. With the introduction of AI, the agricultural industry has seen previously unthinkable advancements. Businesses must hire a Gen AI consulting company to integrate AI into their agritech business to boost productivity. This blog covers the use cases of artificial intelligence transforming the agritech industry.

Transforming Agriculture with AI

Generative AI can transform agriculture with its advanced capabilities. Let’s explore the use cases of artificial intelligence transforming agriculture:

Automated Irrigation Systems

AI algorithms provide autonomous crop management. When paired with IoT (Internet of Things) sensors that monitor soil moisture levels and meteorological conditions, algorithms can make real-time decisions about how much water to supply crops. An autonomous agricultural irrigation system is intended to save water while encouraging sustainable agriculture and farming practices. AI in smart greenhouses improves plant growth by automatically altering temperature and humidity.

Crop and Soil Monitoring

The improper combination of nutrients in the soil can significantly impact crop health and growth. Farmers can effectively use AI to identify these nutrients and determine their effects on crop productivity. While human observation has limitations in terms of accuracy, computer vision models can monitor soil conditions and collect reliable data needed to battle crop diseases. This plant science data is then used to assess crop health, anticipate yields, and identify specific abnormalities. Plants activate AI systems via sensors that detect their growth circumstances, causing automated alterations to the surroundings.

Monitoring Livestock Health

Although detecting health problems in cattle is easier than in crops. Fortunately, AI for farming can help. For example, CattleEye has developed a method for remotely monitoring cow health using drones, cameras, and computer vision. It detects unusual cattle behavior and recognizes activities like birthing. CattleEye uses AI and ML methods to assess the influence of nutrition and environmental circumstances on livestock, providing helpful information. This knowledge can assist farmers in enhancing the health of their cattle to increase milk production.

Also Read: How to Ensure Data Security & Privacy in Gen AI Deployments

Intelligent Pesticide Application

Farmers are well aware that pesticide use can be optimized. Unfortunately, manual and automated application methods have significant limits. Manual pesticide application provides greater precision in targeting specific regions but can be time-consuming and complicated. Automated pesticide spraying is faster and less labor-intensive, but it is often inaccurate and contaminates the environment. AI-powered drones combine the finest aspects of each technique while minimizing their disadvantages. Drones utilize computer vision to determine the amount of pesticide to spray in each region. While still in its infancy, this technology is becoming increasingly precise.

Conclusion

Artificial Intelligence will transform current agriculture by enhancing efficiency, sustainability, resource allocation, and real-time monitoring, resulting in healthier, higher-quality products. However, you cannot simply buy AI and start using it. AI is not a tangible object; instead, it is a collection of technologies mechanized through programming. In essence, an AI system thinks as people do: it learns first and then solves issues using data. You need to partner with businesses offering Gen AI consulting services. These experts accommodate the AI-driven transformation of agriculture. Farmers should be educated on how to employ AI-powered solutions.

Richard Duke is an AI consultant with 6+ years of experience in a decade-old digital transformation consulting.