Hey! You’re looking so beautiful today, and a beautiful person like you deserves an amazing chance to color their fields in the way they want. I’m telling you that I’ll not go so boring as to tell you the definition of agritech, its properties, etc. That sounds so typical, and you can find this kind of information anywhere on the Internet. I’ve something really different. I’m going to discuss the role of AI in farming. You’ll get such amazing information to change your circle totally. So, let’s get started.
Agriculture requires various manual steps. Artificial Intelligence complements existing technologies and streamlines complex tasks. It’s capable of gathering and analyzing large amounts of data, suggesting and even triggering actions. Umm! Triggering actions may require assistance from other technologies.
Let me share the role of AI most straightforwardly.
1. Helps Manage Risks
AI offers forecasting and predictive analysis that helps farmers minimize the risk of crop failures. For example, There’s a startup company named Intello Labs in India. It utilizes AI to help its farmers analyze the product quality and minimize loss.
The company works on software application products that rely on AI and computer vision algorithms. It helps visualize fruits and vegetables to determine quality, size, and ripeness. AI technology also helps detect defects in crops.
How awesome! Farmers can go for preventive measures even before the crops are defective.
2. Breeding Seeds
AI helps collect data on your plant growth. It helps amazingly! Yeah! You’ll be able to ignore the crops that will not pay you back in the future. So, you’ll be able to focus on crops less prone to damage and better adapt to weather conditions.
Let me tell you one more exciting thing. You can crossbreed the best-performing crops to create even better hybrids. Don’t get confused. This process has been used in the agricultural industry for a long time. But now you have a chance to gather genomic information of seeds through AI technology like that of Seed-X. It helps speed up the process and increases the probability of success.
3. Soil Monitoring
Integrate AI systems & sensors and monitor your soil’s water and nutrient requirements. Using sensors involves deploying devices. Let me tell you if you’re hearing about these for the first time. These are devices that measure different parameters like temperature, pH levels, nutrient content, and soil moisture. Sensors send information back to AI systems that perform analysis and offer instructions regarding the best ways to manage your crops based on what they found about soil.
Ok, guys. That’s all about the role of AI in farming. There are still many points to explore. We’ll discuss them in upcoming videos.
