| Artificial intelligence-dependent drone system for pest identification and crop health, comprises drones equipped with thermal and multispectral cameras, and Internet-ofThings sensors to scan farmland around the clock | |
| 2025-04-02 | |
| 专利权人 | PIMPRI PATIL TECHNOLOGY INST D Y (PIMP-Non-standard) |
| 申请日期 | 2025-04-02 |
| 专利号 | IN202521032501-A |
| 成果简介 | NOVELTY - The AI-dependent drone system comprises drones equipped with thermal and multispectral cameras, and Internet-of-Things (IoT) sensors to scan farmland around the clock. The specialized cameras and sensors mounted on the drone help identify and monitor crop conditions. The drones fly automatically, covering miles of land in the least time, which reduces human effort and allows farmers to keep an eye on vast fields easily. USE - AI-dependent drone system for pest identification and crop health. ADVANTAGE - The system creates reports automatically, with accurate intervention techniques that allow them to respond quickly, with information tailored to the situation, before significant damage can occur be inflicted. The system is easily integrated with farm management systems and IoT-based precision farming systems so that optimal resource allocation and sustainable agriculture. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic representation of the AI-dependent drone system for pest identification and crop health. 101Data collection phase 102Drone hardware and sensors 103AI algorithm and image processing 105Pest detection software 106Crop health analysis conclusion |
| IPC 分类号 | A01N-065/20 ; G06N-003/045 ; G06Q-050/02 ; G06T-007/00 ; G06V-020/10 |
| 国家 | 印度 |
| 专业领域 | 信息技术 |
| 语种 | 英语 |
| 成果类型 | 专利 |
| 文献类型 | 科技成果 |
| 条目标识符 | http://119.78.100.226:8889/handle/3KE4DYBR/13221 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | PIMPRI PATIL TECHNOLOGY INST D Y (PIMP-Non-standard) |
| 推荐引用方式 GB/T 7714 | SHENDURKAR D,PATIL H,DAMKONDWAR H,et al. Artificial intelligence-dependent drone system for pest identification and crop health, comprises drones equipped with thermal and multispectral cameras, and Internet-ofThings sensors to scan farmland around the clock. IN202521032501-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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