Astronomy & Space Sciences
Title : | Development of Deep Learning Framework for Inventory of Horticultural Plantations using High Resolution satellite images |
Area of Research : | Astronomy & Space Sciences |
Focus Area : | Remote Sensing Applications |
Principal Investigator : | Dr. Mallikarjun M Kodabagi, Professor, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka |
Co-PI: | Dr. R Hebbar, National Remote Sensing Centre (NRSC), ISRO, Hyderabad, Telangana |
Contact info : | mallikarjun.mk@reva.edu.in |
Timeline Start Year : | 2022 |
Total Budget (INR): | 24,49,000 |
Details
Executive Summary : | The cultivation and production of horticulture crops is considered as Golden Revolution and India has emerged as the second largest producer of fruits and vegetables in the world. Today's horticulture deals not only the fruits, vegetables and flowers but also other important crops like spices, condiments, plantation crops, medicinal and aromatic plants etc. In this project, a study is being carried out to determine reliable statistics in terms of area and production at different spatial hierarchies for proper planning and scheduling of horticulture crops. |
Equipments : | GPU Card, Printer-Scanner, Monitor, External Storage Devices, GPS device for fields |
Achievements : | The project being undertaken by ISRO in collaboration with academia is directly or indirectly beneficial to the society. |
Organizations involved
Implementing Agency : | REVA University, Bengaluru, Karnataka Funding Agency : | Indian Space Research Organisation (ISRO)
Department of Space (DOS)
| Source: | Indian Space Research Organisation (ISRO)- Department of Space (DOS) 2022-2029 | |
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