An automatic procedure for crop mapping using agricultural monitoring

Autor:	M. Ganthimathi, M. Ranjitha, M. Thangamani, R. Vijayalakshmi, P. Malarkodi
Rok vydání:	2021
Předmět:	History Association rule learning Agriculture business.industry Crop mapping Environmental science Agricultural engineering business Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1950:012053
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1950/1/012053
Popis:	IoT and Machine Learning are emerging techniques used in existing days. Agriculture plays a vital role in human survival. Mapping crop according to the current environment is important to improve agriculture. pH sensors, dielectric soil moisture Sensors, mechanical sensors, optical sensors, electro-chemical sensors and air flow sensors are used in this proposed system to gather data about the soil and supervised Learning associated with Association algorithm are used to analyze and predict which crop maps to the soil in the present circumstances. Ensemble Technique is integrated to make accurate classification to select the type of crop. Technology combining both IoT and Machine learning are used to improve the production of the crop which proportionally helps to improve the agricultural yield.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ad6f6f9bdc33cfb1a13adbf85290a38a https://doi.org/10.1088/1742-6596/1950/1/012053 Zobrazit plný text záznamu