Indian scientists develop method to predict crop yield

November 24, 2006 -- Indian scientists have developed a mathematical equation that they say can be used to forecast near-accurate crop yield.

They claim their generic equation can predict the state-wise crop yield with better than 90% accuracy and help calculate crop yields in other countries as well.

Ramesh Singh, Anup K Prasad and Vinod Tare of the Indian Institute of Technology (IIT), Kanpur along with US researcher Menas Kafatos of the Center for Earth Observing and Space Research in Fairfax, Virginia have used long-term satellite and meteorological data for their equation.

"We used 20 years of satellite-derived surface and meteorological data to develop this prediction model for the first time," Singh, a professor of civil engineering, said.

Singh and his co-workers have described their model in a paper that is to appear in the International Journal of Remote Sensing.

"Our equation is giving very good results," Singh said. "The Indian ministry of agriculture has been looking precisely for such a model," he said.

For India, the "yield equation" has been developed for rice and wheat.

The rice and wheat yields predicted by their model were close to the observed values for three consecutive years - 1997, 1998 and 1999 - tested, said Singh.

Because of large variations in the climatic conditions and agricultural practices in different parts of India, separate equations have been developed for each state for estimating rice and wheat yield, Singh said.

He said the methodology developed by his team for rice and wheat "can be used to derive such empirical equations for other crops as well."

The equation can be modified and extended to other countries where crop production is "primarily dependent" on weather and climatic conditions.

"In fact, we have tested this model for corn and soybean in the Iowa state of the United States," Singh said.

The conventional approach of forecasting crop yield using ground-based data collection is tedious, time consuming and often a difficult job. Remote sensing satellites have made this job easier, the IIT scientist said.

According to Singh, their approach assumes that crop yield mainly depends on four key factors that vary year to year from region to region - soil moisture, surface temperature, rainfall and another parameter called "normalised difference vegetation index or NDVI".

These four parameters are routinely collected by American earth observation satellites for the entire globe and are available in archives. What Singh’s team has done is to analyse 20-year satellite data and use the average seasonal value for each of the four parameters to develop their crop yield equation specific for every unit (50x50km area) in crop growing regions in India.

To make a prediction for a particular year, the satellite data for that is plugged into the equation and the estimates for each unit are added up to get the total yield for the country as a whole.

The yield equation takes into account only the variations in surface and meteorological data but not factors like pests, plant diseases, or farmers switching to new hybrid crop varieties. – IANS

Rating:
Reviews:
Review Article
  • October 09, 2008
    Reviewed by 'Oladipo I.O.'
    the article is good for the puprpose of academic development

      2 of 2 found this review helpful.
      Was this review helpful to you?   (Report this review as inappropriate)


For more discussions, follow this link …
Rand3D

Featured Video
Jobs
Mechanical Engineer I for Air Techniques, Inc at Melville, NY
Proposal Support Coordinator for Keystone Aerial Surveys at Philadelphia, PA
Upcoming Events
The Rise of Mechatronics at Dassault Systèmes San Diego 5005 Wateridge Vista Drive San Diego CA - Sep 12, 2017
The Rise of Mechatronics at Buca di Beppo - Pasadena 80 West Green Street Pasadena CA - Sep 13, 2017
The Rise of Mechatronics at Dassault Systèmes Santa Clara 3979 Freedom Circle, Ste 750 Santa Clara CA - Sep 14, 2017
The 30th Annual Integrated Process Excellence Symposium & Training at Wyndham Grand Bonnet Creek Resort Orlando FL - Sep 18 - 20, 2017
Kenesto: 30 day trial



Internet Business Systems © 2017 Internet Business Systems, Inc.
25 North 14th Steet, Suite 710, San Jose, CA 95112
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation GISCafe - Geographical Information Services TechJobsCafe - Technical Jobs and Resumes ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy Policy Advertise