Artificial Intelligence in Agriculture.pptx

Artificial Intelligence in Agriculture.pptx

• 1.
  2024 Artificial Intelligence in Agriculture Preparedby K.Bhavana
• 2.
  2
• 3.
  3 CONCEPTS • What isArtificial 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
• 4.
  4 ADD A FOOTER
• 5.
  5 ADD A FOOTER
• 6.
  6 How AI canbe useful in agriculture
• 7.
  7 • Analyzing marketdemand 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
• 8.
  8 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
• 9.
  9 • 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
• 10.
  10 • Crop andsoil 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
• 11.
  11 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
• 12.
  12 • Complexity ofIndian 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
• 13.
  13 Advantages of AIfor Agriculture • Automatic Weeding • Automatic Harvesting • Plant Disease Detection • Soil Health Monitoring • Irrigation Management • Increased productivity • Predict the requirement of pesticides
• 14.
  14 Disadvantages of AIfor 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.
• 15.
  15 Artificial intelligence inagriculture 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
• 16.
  THANK YOU!