Decision Making of Suitable Crops Based on Nitrogen, Phosphorous, Potassium Ratios Using Deep Neural Networks

Autor: Valiveti Amrutha Varshini, K. Ashok Kumar, V. S. Mynavathi, Unnam Sai Rekha
Rok vydání: 2020
Předmět:
Zdroj: Journal of Computational and Theoretical Nanoscience. 17:3337-3343
ISSN: 1546-1955
Popis: The soil, is essential substance answerable for supporting life on earth. In spite, extremely trend setting innovation in the administration segment, agribusiness remains the significant supplier of nourishment assets and wellspring of fund in India. Testing the soil is as significant device for assessing the suitable soil supplement status and soil assists with deciding the right measure of supplements to be applied to the dirt dependent on its richness and yield prerequisities. Right now, AI were utilized to group all supplements more adequately like Nitrogen (N), phosphorous (P), Potassium (K), levels in the soil with the use of Rapidsoil Testing (RST). This made out of three areas specifically soil testing, preparing framework and technique testing.
Databáze: OpenAIRE