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Rao, K
Seepersad, G
Rathee, G
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Authors
Srinivasa Rao, C
Rao, K
Magen, H
Venkateswarlu, B
Subba Rao, A
Seepersad, G
Sampson, T
Seepersad, S
Goorahoo, D
Rathee, G
Sielenkemper, M
Topics
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
Geospatial Data
Type
Poster
Oral
Year
2012
2016
2022
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Filter results3 paper(s) found.

1. Categorization of Districts Based on Nonexchangeable Potassium: Generation GIS Maps and Implications in Efficient K Fertility Management in Indian Agriculture

Recommendations of K fertilizer are made based on available (exchangeable + water soluble) K status only  in India and other despite of  substantial contribution of nonexchangeable fraction of soil K to crop K uptake. Present paper examines the information generated in the last 30 years on the status of nonexchangeable K in Indian soils, categorization of Indian soils based on exchangeable and nonexchangeable K fractions and making K recommendations. Data for both K fractions of different... C. Srinivasa rao, K. Rao, H. Magen, B. Venkateswarlu, A. Subba rao

2. Precision Agriculture Techniques for Crop Management in Trinidad and Tobago: Methodology & Field Layout

Agriculture in Trinidad and Tobago has not advanced at the same rate at which new agricultural technology has been released. This has led to large-scale abandonment of crop lands as challenges posed by labor availability and their agronomic capability could not meet the technological demands for agricultural production, competitiveness and sustainability. There is an urgent need to develop technology-based agriculture models to meet the demands of a modern agricultural sector and to maintain its... G. Seepersad, T. Sampson, S. Seepersad, D. Goorahoo

3. Next in Precision Agriculture: Detecting and Correcting Pixels with Machinery Track Line Within Farms

With more satellites orbiting the earth, monitoring of fields using satellite data has become easier and ubiquitous. Frequent observations of a field can provide vital cues about field health and management practices. However, farm analytical statistics derived from such datasets often need modification to create practical applications. This paper focuses on the detection and removal of field machinery track line pixels to reduce their effect on satellite-based agronomic recommendation and product... G. Rathee, M. Sielenkemper