IOT Based Soil Care Solution And Precautions of Seed,food Planting

Authors

  • Pooja Gahile Students of Department Computer Engineering, Savitribai Phule Pune University, Pune
  • Sadhana Patekar Students of Department Computer Engineering, Savitribai Phule Pune University, Pune
  • Chaitali Meher Students of Department Computer Engineering, Savitribai Phule Pune University, Pune

Keywords:

k Nearest Neighbor (kNN), technique, Data mining and Machine Learning, Crop disease and yield prediction

Abstract

be solved based on available facts. facts mining strategies are the higher selections for this purpose. Specific facts Mining strategies are used and evaluated in agriculture for estimating the destiny 12 months’ crop manufacturing. therefore we suggest a brief evaluation of crop yield prediction the usage of k Nearest Neighbor (kNN) approach and Density primarily based clustering approach for the selected vicinity i.e. Data mining and gadget getting to know is an rising subject of research in data generation as well as in agriculture. Agrarian zone in India is going through rigorous problem to maximize the crop productiveness. The present observe focuses on the applications of statistics mining techniques in yield prediction in the face of climatic alternate to assist the farmer in taking decision for farming and achieving the predicted monetary return.

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Published

2021-02-18

How to Cite

Pooja Gahile, Sadhana Patekar, & Chaitali Meher. (2021). IOT Based Soil Care Solution And Precautions of Seed,food Planting. JournalNX - A Multidisciplinary Peer Reviewed Journal, 226–229. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/1927

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