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Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Re ectance and Hyperion/EO-1 Data
The overarching goal of this study was to establish
optimal hyperspectral vegetation indices (HVIs) and hyperspectral
narrowbands (HNBs) that best characterize, classify, model,
and map the world’s main agricultural crops. ...
Need to strengthen analytical support in agricultural research
The need for analytical support in agricultural
research has long been recognized,
especially in the context of soil
fertility evaluation and nutrient management,
and crop quality assessment and
monitoring for selecting ...
Molybdenum status and critical limit in the soil for green gram (Vigna radiata) growing in Madurai and Sivagangai districts of Tamil Nadu, India
A survey was undertaken during 2008 to determine molybdenum (Mo) status of soils and to establish critical
limits in soils of Madurai and Sivagangai districts of Tamil Nadu. A total of 202 surface soil samples were
collected ...
INTELLIGENT OBJECT BASED SMOOTHING: AN ALGORITHM FOR REMOVING NOISES IN THE CLASSIFIED SATELLITE IMAGE
The existing smoothing algorithms like mean, median, majority/mode filters are not efficient in smoothing the classified image derived from the satellite data. Mean filter alters original class pattern and also it is ...
Managing soil fertility constraints in market-led shift to high value agriculture for benefiting smallholders in the semi-arid tropics
Low productivity and cultivation of low value crops in
the Indian semi-arid tropics (SAT) is the main cause for
poor farm-based livelihoods. Poverty leading to low risktaking
ability of farmers and production related
constraints ...