Multivariate Soil Monitoring and Crop Prediction Model Based on AAD-ARIMA and LCV-OXGBOOST Techniques
S Shenbagavadivu,
Senthil Kumar. M,
Chidhambarajan. B B
Abstract:Farmers must adjust to the rising environment while producing more food with better nutrition. To boost crop production and growth, the farm worker must be knowledgeable of the soil conditions, which will aid in selecting the best crop to sow in the given conditions. By continuously monitoring the land, IoT-based smart farming enhances the agricultural industry as a whole. It maintains numerous variables, including sediment, temperature, and moisture. According to them, the project intends to assist farmers in… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.