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Courtesy: Natural Resources Management
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6.0 CONCLUSIONS
Precision farming is undoubtedly relevant to Indian agriculture
in the context of improving agricultural production and
stakeholders' income and minimizing environmental impact.
However, the concept and the model of precision farming may
be different, and should focus on optimization of farm inputs,
reducing cost of cultivation and maintaining good harmony
with the environment. Space technology offers immense
potential for deriving information on soil fertility, crop
conditions and crop yield, crop simulation models enable
estimating potential crop yield and the decision support system
to facilitate developing appropriate prescription for improving
crop production while minimizing the cost of inputs. The
major limitations of currently available high spatial resolution
multispectral data are the fixed and broad spectral bands, very
low repetivity, high cost which most of the Indian farmer could
not afford apart from issues like radiometric normalization of
multi- temporal spectral measurements for objective change
detection, instrument calibration and high turn around time. In
order to match the technology with the requirement of
precision farming, improvements in corresponding elements
needs to be made to address the limitations so as to reap its
benefits to fullest extent.
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