Affiliation:
1. Jaypee Institute of Information Technology, India
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.
Reference40 articles.
1. Abdullah, S., Bakar, A. A., Mustafa, N., Yusuf, M., Abdullah, S., & Hamdan, A. R. (2007). Fuzzy Knowledge Modelling for Image-based Paddy Disease Diagnosis Expert System. In Proceedings of the International Conference on Electrical Engineering and Informatics. Institut Teknologi Bandung.
2. Rule-Based Expert Systems
3. Aphale & Rajesh. (n.d.). Fuzzy Logic System in Tomato Farming. SIMSR.
4. Fuzzy controller design by using neural network techniques
5. A web-based fuzzy expert system for frost warnings in horticultural crops
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