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Negrini, R.P
Nielsen, K
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Authors
Bertelsen, M.G
Nielsen, K
Nielsen, M.R
Nielsen, K
Nielsen, M.R
Negrini, R.P
Miao, Y
Mizuta, K
Stueve, K
Kaiser, D
Coulter, J.A
Mizuta, K
Miao, Y
Lu, J
Negrini, R.P
Pereira de Souza, F
Negrini, R.P
tao, H
Topics
Proximal Sensing in Precision Agriculture
Engineering Technologies and Advances
Site-Specific Nutrient, Lime and Seed Management
On Farm Experimentation with Site-Specific Technologies
Type
Oral
Poster
Year
2014
2024
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Filter results5 paper(s) found.

1. A Method For Sampling Scab Spots On Apple Leaves In The Orchard Using Machine Vision

Introduction One of the largest threats in apple orchards is scab. Current procedures involve models based on weather data that predict the likelihood of scab attacks. In case of alarm the orchard is sprayed with preventive pesticides and this typically happens 25-30 times per season. The scab attacks the leaves and stays on fallen leaves that reinfect the trees with rainwater, making it an advantage to include a-priori knowledge on previous... M.G. Bertelsen, K. Nielsen, M.R. Nielsen

2. Fusion Of Multi Exposure Stereo Images And Thermography For Obstacle Detection On Agricultural Vehicles

Introduction Over the years agricultural vehicles become increasingly automated with trajectory row tracking and master-slave vehicle configurations, and autoguided vehicles. Safety is an important aspect. Auto guided vehicles exist in industry, where the surroundings are semistructured and flat. Sopme cars have collision sensors. But in agriculture the ground is not flat.  The vehicles are meant to be driven into crops, and there are certain paths... K. Nielsen, M.R. Nielsen

3. Within-field Spatial Variability in Optimal Sulfur Rates for Corn in Minnesota: Implications for Precision Sulfur Management

The ongoing decline in sulfur (S) atmospheric depositions and high yield crop production have resulted in S deficiency and the need for S fertilizer applications in corn cropping systems. Many farmers are applying S fertilizers uniformly across their fields. Little has been reported on the within-field spatial variability in optimal S rates and the potential benefits of variable rate S applications. The objectives of this study were to 1) assess within-field variability of optimal S rates (OSR),... R.P. Negrini, Y. Miao, K. Mizuta, K. Stueve, D. Kaiser, J.A. Coulter

4. Evaluating Different Strategies to Analyze On-farm Precision Nitrogen Trial Data

On-farm trials are being conducted by more and more researchers and farmers. On-farm trials are very different to traditional small plot experiments due to the existence of significant within-field variability in soil-landscape conditions. Traditional statistical techniques like analysis of variance (ANOVA) are commonly adopted for on-farm trial analysis to evaluate overall performance of different treatments, assuming uniform environmental and management factors within a field. As a result, the... K. Mizuta, Y. Miao, J. Lu, R.P. Negrini

5. Optimizing Chloride (Cl) Application for Enhanced Agricultural Yield

The optimization of chloride (Cl-) application rates is crucial for enhancing crop yields and reducing environmental impact in agricultural systems. This study investigates the relationship between chloride application rates and wheat yields, focusing on Club wheat cultivation in a 19.76-hectare field in Washington State. The target yield was set at 3765 kilograms per hectare, with seeding conducted at 67.24 kilograms per hectare using conservation tillage practices. Potassium chloride... F. Pereira de souza, R.P. Negrini, H. Tao