A Comprehensive Study of Application of Decision Support System in Agriculture in Indian Context

Agriculture is the mainstay in Indian Economy and only sustainable agriculture is likely to provide the long-term benefits required to achieve development and scarcity improvement. The research and advancements in agriculture have made available huge amounts of data in different areas of agriculture. It is a great challenge to extract knowledge from data and this has led to methods and techniques such as decision support system that can bridge the knowledge gap. The effectiveness of decision making in agriculture domain can be improved by integrating geospatial information and advanced information technology techniques. This paper reviews and summarizes the application of simulation based decision support system, advisory decision support system in different agriculture practices in Indian context.

[1]  Joginder Singh,et al.  Irrigation planning in cotton through simulation modeling , 1996, Irrigation Science.

[2]  ScienceDirect Physics and chemistry of the earth. Parts A/B/C , 2002 .

[3]  J. Layton,et al.  Wheat (Triticum aestivum L.). , 2006, Methods in molecular biology.

[4]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[5]  Anil Sood,et al.  Yield, evapotranspiration and water productivity of rice (Oryza sativa L.)-wheat (Triticum aestivum L.) system in Punjab (India) as influenced by transplanting date of rice and weather parameters , 2007 .

[6]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[7]  Anil Kumar Singh,et al.  Evaluation of CERES-Wheat and CropSyst models for water-nitrogen interactions in wheat crop , 2008 .

[8]  H. N. Verma,et al.  Climatic water balance, probable rainfall, rice crop water requirements and cold periods in AER 12.0 in India , 2005 .

[9]  Joginder Singh,et al.  Irrigation planning in wheat (Triticum aestivum) under deep water table conditions through simulation modelling , 1997 .

[10]  Raj Kumar Gupta,et al.  Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study , 2009 .

[11]  Gerrit Hoogenboom,et al.  Simulating water content, crop yield and nitrate-N loss under free and controlled tile drainage with subsurface irrigation using the DSSAT model , 2011 .

[12]  James W. Jones,et al.  Modeling soil and plant phosphorus within DSSAT. , 2010 .

[13]  Gheorghe Stancalie,et al.  Using earth observation data and CROPWAT model to estimate the actual crop evapotranspiration , 2010 .

[14]  N. Rao,et al.  GIS Based Decision Support Systems in Agriculture , 2004 .

[15]  Suhas P. Wani,et al.  Analysis of potential yields and yield gaps of rainfed soybean in India using CROPGRO-Soybean model , 2008 .

[16]  V. K. Arora,et al.  Analyzing wheat productivity responses to climatic, irrigation and fertilizer-nitrogen regimes in a semi-arid sub-tropical environment using the CERES-Wheat model , 2007 .

[17]  N. H. Rao,et al.  GIS-based decision support system for groundwater assessment in large irrigation project areas , 2003 .

[18]  W. Harman,et al.  Assessing the response of chickpea (Cicer aeritinum L.) yield to irrigation water on two soils in Punjab (India): A simulation analysis using the CROPMAN model , 2006 .

[19]  I. Makin,et al.  Participatory decision support for agricultural management. A case study from Sri Lanka , 2003 .

[20]  PatelLakshman Chandra,et al.  CELL PHONEA DECISION SUPPORT FOR SUSTAINABLE PLANT PROTECTION OF THE DISTRICT SOUTH 24 PARGANAS, WEST BENGAL , 2012 .

[21]  Gerrit Hoogenboom,et al.  Simulating management effects on crop production, tile drainage, and water quality using RZWQM–DSSAT , 2007 .

[22]  William D. Batchelor,et al.  Methodology for the use of DSSAT models for precision agriculture decision support , 2008 .

[23]  N. Raghuwanshi,et al.  Decision Support System for Estimating Reference Evapotranspiration , 2002 .

[24]  L. S. Rathore,et al.  Mitigating climate change impact on soybean productivity in India: a simulation study , 2004 .

[25]  Ajay K. Singh,et al.  Decision support for on-farm water management and long-term agricultural sustainability in a semi-arid region of India , 2010 .

[26]  N. Subash,et al.  Evaluation of the impact of climatic trends and variability in rice–wheat system productivity using Cropping System Model DSSAT over the Indo-Gangetic Plains of India , 2012 .

[27]  L. S. Rathore,et al.  Growth and yield responses of soybean in Madhya Pradesh, India to climate variability and change , 1999 .

[28]  Yadvinder-Singh,et al.  Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model , 2008 .

[29]  Narendra Singh Raghuwanshi,et al.  Estimation of reference evapotranspiration using a user-friendly decision support system: DSS_ET , 2012 .