BAU students trained in drone, AI technologies
Bhagalpur: A six-day Drone Technology Bootcamp focusing on drone technology, artificial intelligence (AI), machine learning (ML) and modern farming applications concluded at Bihar Agricultural University (BAU) on Saturday.
The programme, which began on May 18 at the Centre for Agricultural Informatics and AI Research (CAIR), was organised by BAU in collaboration with the Centre for Development of Advanced Computing (CDAC).
The bootcamp aimed to introduce students to emerging technologies in precision agriculture and provide practical exposure to intelligent farming systems. A total of 43 students participated in the training programme.
Participants received hands-on training in drone operations, aerial surveying, mapping technologies and agricultural applications of unmanned aerial systems.
BAU vice-chancellor D R Singh said the objective was to equip students by integrating AI, ML and drone systems into agricultural education.
During the programme, experts conducted sessions on drone architecture, flight control systems, sensors, aerial imaging, precision farming and safety protocols.
Special focus was given to AI and ML-based applications in crop health monitoring, disease detection, nutrient analysis, yield prediction and weed identification for sustainable farming practices.
The programme was conducted by project director Anshuman Kohli and project coordinator C K Panda, while experts and scientists from CDAC provided technical training and demonstrations.
The programme, which began on May 18 at the Centre for Agricultural Informatics and AI Research (CAIR), was organised by BAU in collaboration with the Centre for Development of Advanced Computing (CDAC).
The bootcamp aimed to introduce students to emerging technologies in precision agriculture and provide practical exposure to intelligent farming systems. A total of 43 students participated in the training programme.
Participants received hands-on training in drone operations, aerial surveying, mapping technologies and agricultural applications of unmanned aerial systems.
BAU vice-chancellor D R Singh said the objective was to equip students by integrating AI, ML and drone systems into agricultural education.
During the programme, experts conducted sessions on drone architecture, flight control systems, sensors, aerial imaging, precision farming and safety protocols.
Special focus was given to AI and ML-based applications in crop health monitoring, disease detection, nutrient analysis, yield prediction and weed identification for sustainable farming practices.
The programme was conducted by project director Anshuman Kohli and project coordinator C K Panda, while experts and scientists from CDAC provided technical training and demonstrations.
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