Crop Monitoring System |
Author(s): |
| Shruti Suvarna , Universal College of Engineering; Yash Agarwal, Universal College of Engineering; Keyur Chotai, Universal College of Engineering; Silviya D’Monte, Universal College of Engineering |
Keywords: |
| IoT, Weeds, Application |
Abstract |
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Farmers in agricultural nations like India, still rely on their intuition and use techniques that are over a century old for cultivating crops. It is also a fact that income of farmers are not increasing to survive in current scenario and it is not possible for them to afford technologies that are not cheap. That is why we require an application that helps them in real world, to inform them about which crop is suitable to grow on what type of land by using algorithms to predict the crop based on parameters like moisture, temperature, etc. This can be determined either by collecting details of land which is asked during the registration done by the farmer or by getting more precise results with the help of IOT based method along with detection of weeds using Convolutional neural network in specific site of crops. Both methods can be used together for achieving efficient results. |
Other Details |
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Paper ID: IJSRDV8I10761 Published in: Volume : 8, Issue : 1 Publication Date: 01/04/2020 Page(s): 1055-1057 |
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