Students/Staff
Parents
ElevatEd
Since the start of human evolution there have been a few practices that have been passed down for thousands of years and one such is agriculture. It’s been more than 10,000 years since humans started practicing agriculture. The evolution of this practice has been incredible, as we got to see the increase in crop yield which exceptionally improved from feeding thousands to millions to billions now.
Was it solely possible by following traditional methods? The answer is no, as civilization started taking shape human intelligence and inventions added great value for the improvement of lifestyle and made living easier. One such incredible human invention is Artificial intelligence.
In recent times artificial general intelligence theory has shown the greatest potential to turn the tables upside down in agriculture. The game play has changed once AI made its entry. Learn and understand the game play of AI with 98thPercentile.
Begin Your Child's Coding Adventure Now!
There are distinct types of AI in terms of functionality and capabilities. Listed below are the types based on capability
- Artificial Narrow AI
- General AI (AGI)
- Super AI
- AGI can analyze the data and optimize the planting, irrigation and harvesting operations and aids in increasing yield.
- It can smartly monitor the crop and identify the areas of inefficiency and waste and improve the utilization of resources.
- AGI can provide information on the best sustainable practices. It can educate farmers on soil health, pest management and how to use fertilizers and pesticides.
Applications of AI in agriculture:
AI technology is introduced in agriculture to increase the yield, predict weather, reduce risks, detect plant diseases, and control weeds and reduce labor work. Let's look into some of these applications in detail
- Predicting weather conditions: AI can provide data about the crop to be cultivated in which season and provides information about seasonal changes.
- Monitoring crop health: Detecting diseases in plants and checking plant nutrition and controlling pests on farm becomes easier with AI
- Risk management: AI can help farmers figure out whether to take insurance or not by considering economic trends, supply chain management and commodity prices.
- AI Robot: Agriculture AI bots will help farmers to reduce the human labor costs as a farm requires greater number of workers to do the process of either weeding or at the time of harvest. AI bots can do this with greater efficiency and in less time which also solves the challenges faced by unpredictable work force.
Did the curiosity ignite in you to explore AI and know more about it? Then why not start from an early age to give a kick-start to AI journey. 98thPercentile provides coding for kids and introduces children to the world of coding at an early age which will help them in choosing their interested areas and stay ahead in the technology race.
FAQ (Frequently Asked Questions)
Q.1. What are the challenges of AI in Agriculture?
Ans: Farmers would need training to get familiar with AI, initial investment could be expensive, and farmers might find it difficult to adopt the AI.
Q.2. Why is AI important for farmers?
Ans: AI can provide clear insights about the field and the crop. It can identify the areas for irrigation and detect crop health and provides information on pest management and fertilizers.
Q.3. What are the benefits of AI in agriculture?
Ans: Few of the benefits of AI are delivering data-based decisions, detecting pests and weeds, and effective ways to harvest the crops.
Q.4. Explain agriculture AI framework?
Ans: Agriculture AI framework combines data collection, analysis, and automation to optimize farming practices for increased yield, resource efficiency, and sustainability.
Q.5. What is the future of AI in agriculture?
Ans: AI’s impact on agriculture is not limited. As technology continues to evolve, we can expect even more innovationsin the agricultural sector
Book 2-Week Coding Trial Classes Now!
Related Articals
1. Understanding Block Coding: Freshman’s Programming Language
2. Power of Python in Data Science: Unleashing Potential through Programming
3. Mastering Tuples in Python: A Comprehensive Guide
4. How AI Enhances Performance and Training in Sports
