Journal of Food Legumes
SCOPUS
  • Year: 2018
  • Volume: 31
  • Issue: 1

Computational modeling for pigeonpea yield prediction in an integrated farming system

  • Author:
  • Sunil Kumar1, M Shamim1, AS Panwar1, S Bhaskar4,, RK Naresh2, Prem Singh1, Poonam Kashyap1, Devraj Mishra3, Vipin Choudhary1, PC Ghasal1, Jairam Chaudhary1
  • Total Page Count: 5
  • Page Number: 58 to 62

1ICAR-Indian Institute of Farming System Research, Modipurm-Meerut-250110, Utter Pradesh, India

2Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut-250110, Utter Pradesh, India

3ICAR-Indian Institute of Pulses Research, Kanpur, Utter Pradesh, India

4NRM Division, ICAR, New Delhi

*E-mail: snandal15@yahoo.com

Online published on 8 April, 2019.

Abstract

This paper deals with the discussion that how the integrated farming system (IFS) ver. 1.1 model has been developed simulating the entire farm based situations faced by innovative farmers of western Uttar Pradesh with desired technological modifications needed to boost the farmers’ productivity and profitability on sustainable basis. Integration of pigeonpea crop and practically feasible farm enterprises, we can earn better net profitability with lesser annual cost of cultivation with overall holistic benefit-cost ratio under IFS ver. 1.1 model. These results reveal that induction of IFS principles and technological interventions on the basis of land use planning, the system can fetch better gains and livelihood through their farms. This model can act as an innovative tool to transform less remunerative farm production systems into highly remunerative systems using available farm resources to generate better farm gains on sustainable basis. Suggested model can also be useful in teaching processes involved in the systems and its behavior in response input variables. Calibration, verification, and validation are very important procedure to produce accurate simulation models.

Keywords

Integrated farming system model, land use planning, productivity, profitability