ANN model for predicting operating parameters of a variable rate applicator

Author:

Chandel N.S.,Tewari V.K.,Mehta C.R.ORCID

Publisher

Asian Agricultural and Biological Engineering Association

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Food Science

Reference29 articles.

1. Estimation of mass flow of seeds using fiber sensor and MLR modeling;Al–Mallahi;Comput. Electron. Agric.,2013

2. Development of artificial neural network models for the performance prediction of an inclined plate seed metering device;Anantachar;Appl. Soft Comput.,2011

3. ANN modeling of extraction kinetics of essential oil from tarragon using ultrasound pre-treatment;Bahmani;Eng. Agric. Environ. Food,2018

4. Sowing Equipment Seed–Cum–Fertilizer Drill Specification (Second Revision) Bureau of Indian Standards, New Delhi-110002;BIS 6813,2000

5. Digital map-based site-specific granular fertilizer application system;Chandel;Curr. Sci.,2016

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