Abstract
AbstractIt is possible to infer the genetically modified species by using remotely sensed data. Using ERDAS software the algorithm of BT (Bacillus thuringiensis) Cotton in Punjab, India was developed successfully. GPS enabled space technology has the potential to identify the exact location of Bt Cotton by generating Normalized Difference Vegetation Index (NDVI) for the calculation of total area covered by this species. It was possible to develop a correlation in between genetically modified Cotton crop and NDVI value. In parts of Bhatinda district of Punjab the yield of Bt Cotton and NDVI showed R2 value of more than 4.5 in regression analysis. A correlation matrix was also generated which shows that NDVI values of BT cotton also has reasonably acceptable correlation with Total Dissolved Solids (TDS) of soil and water.
Highlights
(Normalized Difference Vegetation Index), which can be correlated with the landuse, landcover, soil moisture, soil quality and groundwater quality to estimate the deterministic yield of BT cotton crops[4, 5, 6]
The brightness or reflectance of vegetation varies across the electromagnetic spectrum Actively growing plants show a strong contrast between strong absorption in the red and high reflectance in the near-infrared regions of the spectrum
When we look in the near-infrared region using color-infrared photography, which is just beyond what we can see with our eyes, actively growing plants are highly reflective because of the multiple scattering that takes place between the spongy-mesophyll cells of the plant
Summary
Use of Satellite data for genetically modified crop needs to generate location specific spectral anomalies[2,3]. (Normalized Difference Vegetation Index), which can be correlated with the landuse, landcover, soil moisture, soil quality and groundwater quality to estimate the deterministic yield of BT cotton crops[4, 5, 6]. The study area is Bathinda District (Figure 1) situated in the Southern part of Punjab State in the heart of Malwa region, India.
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