| Pesticide control system for growing vegetation used in agriculture industry, has control unit which is provided for growing vegetation usage of given mining system, where space-time evaluation is performed with regression estimation and predictive model is provided | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069848-A |
| 成果简介 | NOVELTY - The system has control unit which is provided for growing vegetation the usage of a given mining system. The space-time evaluation is performed with regression estimation. The predictive model is provided. The crop yields and crop water requirements are predicted. The yield depends on many agricultural parameters. The crops are recommended to the farmers based on the proposed paintings of the production of fruits in preceding years. The guidelines are formed to force the farmer to deliver a good harvest in recent years. USE - Pesticide control system for growing vegetation used in agriculture industry such as forestry industry and fishing industry. ADVANTAGE - The device helps farmers to maximize yields and provide the most productive crop for a particular location, predicts yields with the aid of looking at elements together with rainfall, temperature, region, season and soil type, and facilitates the cultivation of plants and assists farmers in production and control, which helps future farmers to enhance agriculture. |
| IPC 分类号 | A01G-025/16 ; A01G-031/02 ; A01G-031/04 ; A01G-009/14 ; G06Q-050/02 |
| 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/19920 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | ETHIRAJULU V,JYOTHICHIDIPUDI C,KAKARLA P,et al. Pesticide control system for growing vegetation used in agriculture industry, has control unit which is provided for growing vegetation usage of given mining system, where space-time evaluation is performed with regression estimation and predictive model is provided. IN202341069848-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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