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Balasundram, S.K
Bhattarai, B
Burns, J
Buelvas, R
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Authors
Greer, K
Burns, J
Bremer, E
Balasundram, S.K
Chong, Y
Mohd Hanif, A
Leksono, E
Adamchuk, V
Whalen, J
Buelvas, R
Neupane, J
Joshi, N
Fulton, J.P
Khanal, S
B K, A
Bhattarai, B
Balasundram, S.K
Topics
Modeling and Geo-statistics
Precision Horticulture
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Site-Specific Nutrient, Lime and Seed Management
Meeting
Type
Poster
Oral
Year
2012
2018
2024
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Filter results5 paper(s) found.

1. Evaluation of PRS(TM) Probe Technology and Model for Variable Rate Fertilizer Application in Hummocky Fields in Saskatchewan

... K. Greer, J. Burns, E. Bremer

2. Monitoring Potassium Levels in Peat-Grown Pineapple Using Selected Spectral Ratios

In this study, we assessed the biophysical changes within pineapple (var. MD2) in response to different potassium (K) rates using a hyperspectral approach. K deficiency was detected at 171 days after planting. Shortage of K also exhibited a shift in red edge towards shorter wavelengths between 500-700 nm. In addition, spectral ranges of 430 nm and 680 nm, as well as 680-752 nm were found to be most effective in differentiating spectral response to varying K rates. Three vegetation indices, i.e.... S.K. Balasundram, Y. Chong, A. Mohd hanif

3. Development of a Manual Soil Sensing System for Measuring Multiple Chemical Soil Properties in the Field

Variable Rate Fertilizer Application (VRA) requires the input of soil chemical data. One of the preferred methods for analyzing soil chemical properties in the field is by using Ion Selective Electrodes (ISEs). To accommodate portability in soil measurements, a manual soil sampling system was developed. Nitrate, Phosphate and pH ISEs were integrated to provide a general outlook on the condition of essential soil nutrients. These ISEs were placed on a modified hand-held soil sampler equipped... E. Leksono, V. Adamchuk, J. Whalen, R. Buelvas

4. Assessing Crop Yield and Profitability with Site-specific Seed Rate Management in Corn and Soybean Cropping Systems

Integrating the information about soil and topographic properties for variable rate seeding is a prerequisite for improved crop production and thus profit. However, limited studies have explored the geospatial and machine learning approaches to understand factors influencing crop yield and profit under site-specific seed rate management. The objectives of this study were to: a) observe the effect of variable seeding rate based on soil and topographic properties on soybean and corn grain yield,... J. Neupane, N. Joshi, J.P. Fulton, S. Khanal, A. B k, B. Bhattarai

5. Asia and Oceania Regional Meeting

... S.K. Balasundram