Smart Farm Android Application Using IoT and Machine Learning

The aim of this paper is to presents agricultural system essentially to reduce the risk and the major problems that are being faced by the farmers to get the maximum yield and help them to take the best decision required during the farming to reduce the loss they might face. Implementation of the au...

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Bibliographic Details
Published in2023 IEEE 8th International Conference for Convergence in Technology (I2CT) pp. 1 - 4
Main Authors L, Vignesh, J C, Nishanth, Prasad H R, Hari, A, Jayanth Kumar, Pomu Chavan, Chandrashekhar
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.04.2023
Subjects
Crops
Forestry
Humidity
Irrigation
Moisture
Prediction
Predictive models
Random Forest Regression
Sensors
Smart agriculture
Yield prediction
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Summary:The aim of this paper is to presents agricultural system essentially to reduce the risk and the major problems that are being faced by the farmers to get the maximum yield and help them to take the best decision required during the farming to reduce the loss they might face. Implementation of the automatic irrigation system and displaying the farm conditions like temperature humidity and moisture in the app. The farmers can keep information like how much crop and what type of crop he has grown in his farm. The farmer can predict the yield he could get for particular crop which has been developed using random forest regression model. The farmer can sell his crop by sending crop details to all the distributors. If the distributor is interested, he could contact the farmer and buy from them. Prediction of yield using the Random Forest Regression model for Farmers to predict their Yield.
DOI:10.1109/I2CT57861.2023.10126447