Abstract
Finding and extracting significant records from data is the undertaking of facts mining.. information mining has applications in various fields such as finance, retail, remedy, agriculture, etc. Agricultural records mining is used to research numerous biotic and abiotic elements. Agriculture in India plays a main position inside the economy and employment. A common trouble amongst Indian farmers is they do not choose the right crops in keeping with the desires of their soil. As a end result, they face extreme productivity setbacks. Precision agriculture solves this trouble for farmers. Precision farming is a modern-day agricultural technique that makes use of studies facts gathered on soil houses, soil types, crop yield information and recommends appropriate plants to farmers based on unique local parameters. This reduces poor crop choice and will increase productiveness. on this paper, this problem is solved by using offering a recommender machine that makes use of an ensemble version with random trees, CHAID, KNearest pals, and a majority voting technique with Naive Bayes as freshmen.
Recommended Citation
GHOSH, ADITYA; SENAPATI, ANUBHAV; DAS, RAHUL; SARKAR, SNEHA; SAHA, JOYEE; MAHANTA, ANNWESHA; and PAL, SUDIPTA BASU
(2024)
"CROP RECOMMENDATION ASSISTANCE USING MACHINE LEARNING (KNN ALGORITHM) AND PYTHON GUI,"
American Journal of Electronics & Communication (AJEC): Vol. 4:
Iss.
2, Article 2.
Available at:
https://research.smartsociety.org/ajec/vol4/iss2/2