Exploratory Study of Soil Parameters to Generate Correlations to Recommend Organic Manure
Year: 2024
Type: conference-paper
Abstract: Machine Learning offers significant potential facilities to farmers in improvising the productivity of agriculture. This paper briefs detailed analysis of several such research proposals that have been published in the domain of agriculture and thus presents a detailed solution as well. The cutting-edge technologies like Internet of Things, Artificial Intelligence and Big Data Analytics are used in most of the research proposals to give various solutions to the existing agricultural problems. This paper will help in addressing significant gaps found in those studies and listed out the problems in agriculture that are to be solved. To exemplify some gaps, the studies were limited to specific parameters of soil, without considering the relations and functionalities between soil parameters, micro & macronutrients. The main objective of this study is to find the correlation between the soil parameters that affect the yield of crop by generating rules. This exploratory study has been done by conducting the field activity and generated appropriate rules.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4403854097