A statistical approach to estimate seasonal crop production in India

نویسنده

  • Anil Ramakrishna
چکیده

Estimation of crop production can be a very useful tool while planning a nation’s agriculture. The use of statistical techniques in developing such tools is a popular and well studied problem. In this paper, we present a statistical model that predicts the total crop production for a geographical region, given the season of harvest and the total land used. We apply this model on four major crops of India and demonstrate the effectiveness of the system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Mining based Neural Network Model for Rainfall Forecasting

India is basically an agricultural country and the success or failure of the harvest and water scarcity in any year is always considered with the greatest concern. The average annual or seasonal rainfall at a place does not give sufficient information regarding its capacity to support crop production. Rainfall distribution pattern is the most important. The rainfall forecasting is scientificall...

متن کامل

Spatial dynamics for relative contribution of cropping pattern analysis on environment by integrating remote sensing and GIS

Agriculture resources reflected to be one of the most imperative renewable and dynamic natural resources. Agricultural sustainability has the premier priority in all countries, whether developed or developing. Cropping system analysis is indispensable for grinding the sustainability of agricultural science. Crop alternation is stated as growing one crop after another on the same piece of la...

متن کامل

Simulation of Yield Decline as a Result of Water Stress Using BUDGET Model

In this paper, to account for the effect of water stresses in the various growth stages under deficitirrigation, the multiplicative, seasonal and minimal approaches are integrated in the BUDGETmodel. To evaluate the model, the simulated yields for winter wheat (was grown in Sharif Abaddistrict) under various levels of water stress were compared with observed yields. The resultshowed, simulated ...

متن کامل

کاربرد روش تحلیل فراگیر داده‌ها درتحلیل رشد بهره‌وری کل عوامل تولید در زراعت پنبه ایران

Malmquist index computed by data envelopment analysis approach was used to estimate the total factor productivity (TFP) growth in cotton production in Iran during 1983-2001. By dividing this index in the two components, technological change and technical efficiency change, two major factors of productivity growth in cotton production were analyzed. Data was obtained from production cost system ...

متن کامل

کاربرد روش تحلیل فراگیر داده‌ها درتحلیل رشد بهره‌وری کل عوامل تولید در زراعت پنبه ایران

Malmquist index computed by data envelopment analysis approach was used to estimate the total factor productivity (TFP) growth in cotton production in Iran during 1983-2001. By dividing this index in the two components, technological change and technical efficiency change, two major factors of productivity growth in cotton production were analyzed. Data was obtained from production cost system ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013