An Artificial Intelligence Based Recommendation System for Farmers in Agricultural Field IoT and Machine Learning

Authors

  • Sagar Jejurkar
  • Kolage Vaibhav
  • Salunke Chetan
  • Khedkar Sourabh

Keywords:

Soil arrangement, Land type, Chemical element, Geographical property, AI, KNN, SVM, and Regression.

Abstract

Soils are astounding mixes of minerals, water, air, regular matter, and incalculable living creatures that are the spoiling gets by from once living things. Soils fill in as media for improvement of a wide scope of plants we can say soil is a significant element of farming. There are a couple of kinds of soils and every sort of soil can have different sorts of features and different kinds of yields create on different kinds of soils. We should realize which sort of our dirt is go better in our dirt. We can apply AI techniques to bunch soil and to expect the yield sensible.

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Published

2021-03-13

How to Cite

Sagar Jejurkar, Kolage Vaibhav, Salunke Chetan, & Khedkar Sourabh. (2021). An Artificial Intelligence Based Recommendation System for Farmers in Agricultural Field IoT and Machine Learning. International Journal of Progressive Research in Science and Engineering, 2(3), 1–3. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/231

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Section

Articles