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A useful tool which recommends which type of crop to be grown based on certain aspects like Temperature,Humidity,Rainfall,etc among others.

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jayantkp/AgroHarvest

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AGROHARVEST

Farming is one of the major sectors that influences a country’s economic growth.

In country like India, majority of the population is dependent on agriculture for their livelihood. Many new technologies, such as Machine Learning and Deep Learning, are being implemented into agriculture so that it is easier for farmers to grow and maximize their yield.

In this project,I developed a tool in which the user can provide all the details needed to grow a crop such as Temperature,Humidity,Rainfall,etc and the algorithm predicts which crop the user should grow. I tried out several algorithms and compared their accuracy. Finally I found that RandomForest Algorithm gave the highest accuracy.

DATA SOURCE: CROP RECOMMENDATION DATASET

Original Source of the Project: GITHUB

Thanks!!

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A useful tool which recommends which type of crop to be grown based on certain aspects like Temperature,Humidity,Rainfall,etc among others.

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