Doggalli, Gangadhara and ., Santhoshinii E and ., Manojkumar H G and Srivastava, Mitali and ., Ganesh H S and Barigal, Amruta and ., Anithaa V and Ameen, Arfa and Kundu, Ritama (2024) Drone Technology for Crop Disease Resistance: Innovations and Challenges. Journal of Scientific Research and Reports, 30 (8). pp. 174-180. ISSN 2320-0227
Doggalli3082024JSRR119833.pdf - Published Version
Download (317kB)
Abstract
Drones have been used for diverse application purposes in precision agriculture and new ways of using them are being explored. Many drone applications have been developed for different purposes such as pest detection, crop yield prediction, crop spraying, yield estimation, water stress detection, land mapping, identifying nutrient deficiency in plants, weed detection, livestock control, protection of agricultural products and soil analysis. Drones can create georeferenced maps that pinpoint the exact location of disease outbreaks within a field. These maps help farmers and agronomists monitor disease progression and plan targeted interventions. Drone operations are highly dependent on weather conditions. High winds, rain, and fog can hinder drone flights and affect the quality of images captured. Addressing technical limitations, regulatory and safety concerns, economic barriers, and data management issues will be crucial for the widespread adoption of drones in agriculture. By overcoming these challenges, drone technology can become a vital tool in sustainable and effective crop disease management.
Item Type: | Article |
---|---|
Subjects: | GO STM Archive > Multidisciplinary |
Depositing User: | Unnamed user with email support@gostmarchive.com |
Date Deposited: | 24 Jul 2024 05:02 |
Last Modified: | 24 Jul 2024 05:02 |
URI: | http://journal.openarchivescholar.com/id/eprint/1485 |