Semantic Scholar Open Access 2023 4 sitasi

Recommending and Predicting Crop Yield using Smart Machine Learning Algorithm (SMLA)

K. Sutha N. Indumathi S. Uma Shankari

Lihat Sumber DOI

Abstrak

Agriculture is always needed by every human and responsible for the economic growth of a country. Developed countries likewise America, Japan, China are leading and making other countries too dependent on their technologies. But developing countries like India are expecting a lot of new technological innovations in the field of agriculture. Innovations may be in the form of smart machines, automation systems, sensor-based instruments, etc. and an advantage for society. In this paper, we have proposed Recommending and Predicting Crop Yield using Smart Machine Learning Algorithm (SMLA). The proposed algorithm namely SMLA is compared with other traditional algorithms to predict crop yield. In comparison to other algorithms the proposed algorithm works efficiently and produces 95% accuracy.

Penulis (3)

K. Sutha

N. Indumathi

S. Uma Shankari

Format Sitasi

APA MLA BibTeX

Sutha, K., Indumathi, N., Shankari, S.U. (2023). Recommending and Predicting Crop Yield using Smart Machine Learning Algorithm (SMLA). https://doi.org/10.12944/carj.11.2.30

Akses Cepat

Lihat di Sumber doi.org/10.12944/carj.11.2.30

Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Total Sitasi: 4×
Sumber Database: Semantic Scholar
DOI: 10.12944/carj.11.2.30
Akses: Open Access ✓