Open AccessAgro Expert Using Google API
Author(s) -
Kale Adika Hiralal,
Pansare Sayali Ashok,
Wagh Monika Sunil,
K Said Shubhangi
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i05.001
Subject(s) - pest analysis , agriculture , selection (genetic algorithm) , agricultural engineering , crop , crop loss , expert system , computer science , agroforestry , business , environmental science , agronomy , engineering , geography , machine learning , artificial intelligence , marketing , biology , archaeology
Agriculture is the backbone of Indian economy. Mostly crops are loss due to the erroneous selection of the crop, climate change. The farmers are generally not aware of the requirements of the crops. i.e. The minerals, soil moisture & other soil requirements one more problem that a farmer generally encounters is the pest & diseases that can affect the crops they grow which they are generally unaware of in an early stage. This are the problems of farmer is addressed in our paper and we have tried to solve it with the help of Agro Expert using Google API system by the help of our model. We predict the suitable crop to the farmers and also detect the pest and may affect as suggest the pest control technique. In this paper we have applied collaborative filtering algorithm, aprori algorithm, linear regration prediction technique.