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Presentation 1: THEME KEYNOTE PRESENTATION: OPPORTUNITIES TO INCREASE EFFICIENCY OF INTERNATIONAL RICE GENEBANK (IRG) THROUGH APPLICATION OF AI/ML-BASED APPROACHES [Venuprasad Ramaiah]
Presentation 2: DETECTION OF PADDY PANNICLE STAGES USING DEEP LEARNING [Himanshushekhar Chaurasia]
Presentation 3: ESTIMATION OF P DEFICIENCY STATUS OF RICE IN INITIAL STAGE BY CANOPY RGB IMAGES USING DEEP LEARNING APPROACH. [Vololonirina RAHARIMANANA]
Presentation 4: REMOTE SENSING AND MACHINE LEARNING FOR MONITORING METHANE EMISSIONS FROM RICE CULTIVATION [Beau Damen]
Presentation 5: CAN MACHINE LEARNING ALGORITHMS REALISTICALLY ESTIMATE REFERENCE EVAPOTRANSPIRATION IN HUMID SUBTROPICAL CLIMATE? [Proloy Deb]
Presentation 6: ARTIFICIAL INTELLIGENCE BASED BREEDING FOR CROP IMPROVEMENT [Pallavi Sinha]
Presentation 2: DETECTION OF PADDY PANNICLE STAGES USING DEEP LEARNING [Himanshushekhar Chaurasia]
Presentation 3: ESTIMATION OF P DEFICIENCY STATUS OF RICE IN INITIAL STAGE BY CANOPY RGB IMAGES USING DEEP LEARNING APPROACH. [Vololonirina RAHARIMANANA]
Presentation 4: REMOTE SENSING AND MACHINE LEARNING FOR MONITORING METHANE EMISSIONS FROM RICE CULTIVATION [Beau Damen]
Presentation 5: CAN MACHINE LEARNING ALGORITHMS REALISTICALLY ESTIMATE REFERENCE EVAPOTRANSPIRATION IN HUMID SUBTROPICAL CLIMATE? [Proloy Deb]
Presentation 6: ARTIFICIAL INTELLIGENCE BASED BREEDING FOR CROP IMPROVEMENT [Pallavi Sinha]
Speakers
Proloy Deb
International Rice Research Institute
Vololonirina RAHARIMANANA
Tokyo University of Agriculture and Technology
