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Prediction of the Crop Cultivating using Resembling and IoT Techniques in Agricultural Fields for Increasing Productivity

    Authors

    • Anant Ram
    • Rakesh Kumar

    Department of Computer Engineering, Gla University, Mathura

,

Document Type : Research Article

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Abstract

The agriculture plays a prevailing job in the development of the nation's economy. Atmosphere and other natural changes has become a significant danger in the agribusiness field. AI is a fundamental methodology for accomplishing viable and viable answers for this issue. Harvest Prediction includes anticipating the best output from accessible authentic information like climate parameters and soil parameters. This recommender system uses real time data as input to the machine learning. The sensors collect data from the soil and send that data to the cloud (firebase). Then the machine learning model retrieves that data and predicts the best crop and sends that crop to the cloud. We develop an android application which retrieves the sensor values from the cloud and displays them. This forecasting facilitates the farmer to forecast the best crop earlier than cultivating onto the agriculture field, which in turn increases the productivity.

Keywords

  • Machine Learning
  • IoT
  • Sensors
  • prediction
  • Best crop
  • XML
  • PDF 218.05 K
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  • HARVARD
  • VANCOUVER
    • Article View: 258
    • PDF Download: 350
European Journal of Molecular & Clinical Medicine
Volume 7, Issue 4
November 2020
Page 50-53
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  • PDF 218.05 K
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  • Article View: 258
  • PDF Download: 350

APA

Ram, A., & Kumar, R. (2020). Prediction of the Crop Cultivating using Resembling and IoT Techniques in Agricultural Fields for Increasing Productivity. European Journal of Molecular & Clinical Medicine, 7(4), 50-53.

MLA

Anant Ram; Rakesh Kumar. "Prediction of the Crop Cultivating using Resembling and IoT Techniques in Agricultural Fields for Increasing Productivity". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 50-53.

HARVARD

Ram, A., Kumar, R. (2020). 'Prediction of the Crop Cultivating using Resembling and IoT Techniques in Agricultural Fields for Increasing Productivity', European Journal of Molecular & Clinical Medicine, 7(4), pp. 50-53.

VANCOUVER

Ram, A., Kumar, R. Prediction of the Crop Cultivating using Resembling and IoT Techniques in Agricultural Fields for Increasing Productivity. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 50-53.

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For Special Issue Proposal : editor.ejmcm21@gmail.com

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