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A Fuzzy-Based Sustainable Solution for Smart Farming
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Author(s): Kavita Pandey (Jaypee Institute of Information Technology, India)and Shikha Jain (Jaypee Institute of Information Technology, India)
Copyright: 2020
Pages: 21
Source title:
Fuzzy Expert Systems and Applications in Agricultural Diagnosis
Source Author(s)/Editor(s): A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)and M. Kalpana (Tamil Nadu Agricultural University, India)
DOI: 10.4018/978-1-5225-9175-7.ch007
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Abstract
Agriculture is an important sector in many developing countries, but the traditional methods are not sufficient to produce a good amount of crop. Moreover, the natural calamities are also destroying a large portion of the crop. Hence, this chapter proposes a prototype model, AgriHelp, to address an agricultural issue using fuzzy logic. The model takes two parameters as input: when and where the farmer wants to sow the crop. Using this information along with available dataset, AgriHelp extracts the expected min-max temperature, rainfall and soil type in the region in the specified season and suggests the best-suited crop to the farmer. The model can further be extended by incorporating more features.
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