Authors : Mohd.Anwar Ali; Anakala Harini; Vattamwar Akshya; Gandrath Manish; A. Dharmesh Sai Suraj
Volume/Issue : Volume 8 - 2023, Issue 8 - August
Google Scholar : https://bit.ly/3TmGbDi
Scribd : http://tinyurl.com/y3jbaayh
DOI : https://doi.org/10.5281/zenodo.8317835
Expert guidance on best practices for fertilizer
usage can help farmers achieve higher yields and reduce
fertilizer losses, even though they generally have limited
control over their fertilizer use. Additionally, rainfall
volume and timing play a crucial role in nutrient loss, with
moderate rainfall at the right moment aiding nutrient
infiltration and dissolution, while excessive rainfall can
lead to nutrient runoff and loss, including vital nutrients
like nitrogen, phosphorus, and potassium.
To tackle these challenges, a nutrient
recommendation system is proposed in this paper. The
system utilizesan updated version of the Random Forest
algorithm based on time-series data to determine the
optimal nutrient amounts required by different crops,
taking into account rainfall patterns and crop fertility. By
using this system, farmers can enhance soil fertility,
minimize the risk of leaching and runoff, and create
optimal conditions for crop growth.