Artificial Intelligence in Agriculture.pptx

The presentation of How Artificial Intelligence used in Agriculture.
Its makes easy to do agriculture with Artificial Intelligence.
Agriculture is backbone of nation so this helps to improve automatic to do. Applications and solutions that use AI in agriculture have been created to assist farmers in precise and regulated farming by giving them the right advice on water management, crop rotation, timely harvesting, the type of crop to be cultivated, optimal planting, pest attacks, and nutrition management. Agriculture provides farmers with real-time crop insights, helping them to identify which areas need irrigation, fertilization, or pesticide treatment.

1. 2024 Artificial Intelligence in Agriculture Prepared by K. Bhavana

2. CONCEPTS What is Artificial Intelligence? How AI can be useful in agriculture Applications of Artificial Intelligence in Agriculture Challenges in use of AI for Agriculture Advantages of AI for Agriculture Disadvantages of AI for Agriculture Conclusion

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5. How AI can be useful in agriculture

6. Analyzing market demand AI can simplify crop selection and help farmers identify what produce will be most profitable. Managing risk Farmers can use forecasting and predictive analytics to reduce errors in business processes and minimize the risk of crop failures. How AI can be useful in agriculture

7. ADD A FOOTER Breeding seeds By collecting data on plant growth, AI can help produce crops that are less prone to disease and better adapted to weather conditions. Monitoring soil health AI systems can conduct chemical soil analyses and provide accurate estimates of missing nutrients . Harvesting With the help of AI, it’s possible to automate harvesting and even predict the best time for it. How AI can be useful in agriculture

8. Protecting crops AI can monitor the state of plants to spot and even predict diseases, identify and remove weeds, and recommend effective treatment of pests . Feeding crops AI is useful for identifying optimal irrigation patterns and nutrient application times and predicting the optimal mix of agronomic products. How AI can be useful in agriculture

9. Crop and soil monitoring Insect and plant disease detection Livestock health monitoring Intelligent spraying Automatic weeding Aerial survey and imaging Produce grading and sorting Applications of Artificial Intelligence in Agriculture

10. ADD A FOOTER Cope with climate change, soil erosion and biodiversity loss Satisfy consumers’ changing tastes and expectations Meet rising demand for more food of higher quality Invest in farm productivity Adopt and learn new technologies Stay resilient against global economic factors Inspire young people to stay in rural areas and become future farmers Farmers' challenges while adopting traditional agricultural methods

11. Complexity of Indian Agricultural system Lack of datasets needed to train AI models Cost of vaious hardware/software used in AI systems Handling of massive data in a safe and secure manner Challenges in use of AI for Agriculture

12. Advantages of AI for Agriculture Automatic Weeding Automatic Harvesting Plant Disease Detection Soil Health Monitoring   Irrigation Management Increased productivity Predict the requirement of pesticides

13. Disadvantages of AI for Agriculture Increase use of chemicals Uneven water distribution Reliance on organic fertilizers Increased food miles. It is not flexible . It is also very user-friendly The main disadvantage is the waste of time and resources that it takes to implement the technology.

14. Artificial intelligence in agriculture not only assists farmers in automating their agricultural operations, but also changes to precision cultivation for improved crop output and quality while using less resources. CONCLUSION

15. THANK YOU!