Proceedings :: North Central Soil Fertility Conference

Proceedings

Find matching any: Reset

Olsen, C.J

Gautam, R.K

» Add more authors

Add filter to result:

Authors

Lamond, R.E

Gordon, W.B

Niehues, B.J

Olsen, C.J

Gautam, R.K

Panigrahi, S

Franzen, D

Topics

Type

Oral

Year

2001

2004

Home » Authors » Results

Authors

Filter results2 paper(s) found.
1. Evaluation of Starter Fertilizer Formulations and Placements for Conservation Tillage Production Systems With the interest in and importance of the use of starter fertilizers in conservation tillage production systems, research was continued to evaluate higher rates of N in starter fertilizers and different starter fertilizer placements. The use of starter fertilizer containing N, P and K significantly increased corn yields compared to a N only program, even though soil P and K levels were high. Increasing N rates in direct seed placed starter did not increase yields and significantly reduced plant... Download paper
2. A New Approach for Predicting Soil Nitrate Using Imagery and Non Imagery Information- Model Development and Validation Soil nitrate, a key nutrient for optirnal gowth and development of crop, can be predicted using a new approach based on imagery and non imagery information. This paper presents an algorithm to predict soil nitrate using i~nagery and 11011 imagery infoi-~nation. LANDSAT TM satellite image, topography, soil electi-ical conductivity, crop yield, and soil type have been used to develop prediction models based on atificial intelligence technique called neural network. The models have been developed and... Download paper

Filter results2 paper(s) found.

1. Evaluation of Starter Fertilizer Formulations and Placements for Conservation Tillage Production Systems

With the interest in and importance of the use of starter fertilizers in conservation tillage production systems, research was continued to evaluate higher rates of N in starter fertilizers and different starter fertilizer placements. The use of starter fertilizer containing N, P and K significantly increased corn yields compared to a N only program, even though soil P and K levels were high. Increasing N rates in direct seed placed starter did not increase yields and significantly reduced plant...

Download paper

2. A New Approach for Predicting Soil Nitrate Using Imagery and Non Imagery Information- Model Development and Validation

Soil nitrate, a key nutrient for optirnal gowth and development of crop, can be predicted using a new approach based on imagery and non imagery information. This paper presents an algorithm to predict soil nitrate using i~nagery and 11011 imagery infoi-~nation. LANDSAT TM satellite image, topography, soil electi-ical conductivity, crop yield, and soil type have been used to develop prediction models based on atificial intelligence technique called neural network. The models have been developed and...

Download paper