Page 1 - Forecasting_sugarcane_production
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Forecasting Sugarcane Production at Mill Command Area in
Maharashtra Using Satellite Remote Sensing & Ground based
Observation.
Introduction
Project is proposed with an overall goal to forecast sugarcane biomass using the
satellite remote sensing and ancillary information. Many methods are in use to
estimate the sugarcane biomass production based on the field survey, ground
sampling, crop simulation model and spectral model with remotely sensed input.
Each method has advantages and drawbacks. Hence all the existing methodology for
yield estimation at spatial and regional scale will be compared and the best method
will be suggested for implementation. The sugarcane fields in India are characterized
by highly variable climatic conditions, soil types and farming practices. It is proposed
to assess the Sugar Cane area and other features of Sugar Cane by utilizing Remote
Sensing Technology for Maharashtra using Remote Sensing and Ground based
observations. The Sugarcane area will be derived at cadastral level using time series
data, which would contain information related to different growth stages of
Sugarcane.
Objectives
1. To map and assess the different growth stages of Sugarcane area at cadastral
and mill catchment level of two sugar mills of Maharashtra.
2. To develop mill-specific model for above ground biomass for crushable cane.
3. To estimate area, yield and production for micro-zones within mill catchment.
Methodology
Following stepwise components will be fallowed in the methodology-
(i) Selection of study sites and base-map preparation
(ii)Field survey and data collection
(iii)Crop discrimination for area estimation
(iv) Crop condition assessment
(v) Development of model for above ground biomass (AGB)
Completion Status (Progress): Ongoing
Outcome:
• Mill catchment wise crop map at cadastral level.
• Biomass map of sugarcane crop.
• Acreage, yield and production statistics.
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MRSAC,Nagpur ©®
MRSAC,Nagpur ©®