Saturday Seminar - Artificial Intelligence in Plant Sciences. Speaker - Shikha Tripathi (IIT BHU).
Opening By Er. Rishabh Chaturvedi - Manager (Mahaveer PG College)
The seminar started with the introduction of AI and explanation of Big Data, Block Chain Technology and Machine Learning and the taken foward to Plant Sciences by Ph.D Scholar Ms Shikha Tripathi - IIT BHU.
About the Topic
Artificial intelligence (AI) is increasingly being integrated into plant sciences, revolutionizing various aspects of research, agriculture, and environmental management. Here are some key areas where AI is making an impact:
Crop Monitoring and Management: AI algorithms analyze data from sensors, drones, and satellites to monitor crop health, soil conditions, and weather patterns. This helps farmers make informed decisions about irrigation, fertilization, and pest control.
Precision Agriculture: AI enables precision agriculture techniques, allowing farmers to optimize inputs (like water, fertilizers, and pesticides) based on real-time data. This leads to increased yields and reduced environmental impact.
Plant Disease Detection: Machine learning models can identify plant diseases by analyzing images of leaves and other plant parts. Early detection allows for timely intervention, reducing crop losses.
Genetic Research and Breeding: AI is used to analyze genetic data and predict traits in plants, aiding in the development of new varieties that are more resilient to diseases, pests, and climate change.
Phenotyping: AI technologies, including computer vision and deep learning, are used to automate the phenotyping process, which involves measuring and analyzing plant traits. This accelerates research and breeding programs.
Climate Impact Modeling: AI models help predict how climate change will affect plant growth and distribution, enabling better planning for future agricultural practices and conservation efforts.
Supply Chain Optimization: AI can improve the efficiency of the agricultural supply chain by predicting demand, optimizing logistics, and reducing waste.
Sustainable Practices: AI tools can assist in developing sustainable agricultural practices by analyzing data on resource use and environmental impact, helping to promote biodiversity and soil health.
Overall, the integration of AI in plant sciences is enhancing productivity, sustainability, and resilience in agriculture, addressing some of the critical challenges faced by the sector today.
22 сен 2024
