Machine learning based intelligent sensor framework to assist farmers in weather forecasting for appropriate crop cultivation /
- Title
- Machine learning based intelligent sensor framework to assist farmers in weather forecasting for appropriate crop cultivation /
- Subject
- Mechanical Engineering
- Description
- Patent Number: 202141047024, Applicant: Dr.S.Balamurugan.
Weather forecasting is an important factor in agricultural sector that aid farmers for sowing and reaping appropriate crops. The day-to-day weather forecast aid farmers to decide upon the type of irrigation, time of yield, choice of the crop to be cultivated that ultimately leads to profit/loss business decision in agriculture. For profitable and successful farming and harvesting the farmer has to be aware of several factors affecting the agriculture such as temperature, humidity, UV radiation, wind direction, solar radiation, barometric pressure and rainfall. Proposed is a machine learning based intelligent sensor framework to forecast weather for appropriate crop cultivation. A set of sensors that are deployed at a focused operating distance in the farm is capable to provide weather analytics report to farmers. The analytics is performed using machine learning algorithms for data processing. - Creator
- N, Arul Kumar.
- Publisher
- Intellectual Property India
- Date
- 2021-05-06
- Language
- English
- Type
- Patent
Files
Collection
Citation
N, Arul Kumar., “Machine learning based intelligent sensor framework to assist farmers in weather forecasting for appropriate crop cultivation /,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 10, 2025, https://archives.christuniversity.in/items/show/2511.