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๐Ÿ‘ฉโ€๐ŸŒพ Final year mega project ๐ŸŽฆ for improving improving crop ๐ŸŒพ productivity ๐Ÿ‘จโ€๐ŸŒพ by using previous year data Predicting๐Ÿ”ฎ future Data ๐Ÿ“… .

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NimishNagapure/DataScience_Project_Improving_Crop_Productivity_Using-_Linear_Regression

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Predicting Crop Productivity Using Linear Regression

ABSTRACT

  • Agriculture is believed to be as backbone of Indian economic system. For the past few decades, agriculture field has seen lots of technological changes to improve better productivity.

  • The world population grows steadily but the resources for crop production continuously diminish.

  • Therefore there have been considerable efforts to develop innovative approaches for sustainable crop production. Using prediction methods, farmers can enhance the productivity of crops.

  • These methods are used to find the required quantity of crops, seeds, humidity, water level and other supplements.

  • KEY WORDS :- Precision Agriculture, Weka, ZeroR Algorithm, Matplotlib, Predictive Analysis.

Proposed System

  • Data are collected for different weather conditions, soil, humidity, air quality, crop maturity,and statistics of previous few year data have taken under consideration and future will be predicted by using machine learning algorithm .

  • Though previous monitoring techniques gathers the crop conditions properly, prediction results have not yet been optimized. First of all, researchers do not have clear idea about crop condition and crop monitoring methods .

  • They should know how to monitor crop condition on different circumstances. So crop characteristics should be well monitored by researchers to deliver good results in prediction methods.

  • Basically problems in predictions are finding proper algorithm for prediction methods and assuming different location results for predictions.

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๐Ÿ‘ฉโ€๐ŸŒพ Final year mega project ๐ŸŽฆ for improving improving crop ๐ŸŒพ productivity ๐Ÿ‘จโ€๐ŸŒพ by using previous year data Predicting๐Ÿ”ฎ future Data ๐Ÿ“… .

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