Login

Proceedings

Find matching any: Reset
Vories, E
Nobrega, L.H
Nelson, J
Nketia, K
Verhoff, K
Nobakhti, A
Nielsen, M.R
Nino, P
Virrankoski, R
Add filter to result:
Authors
Bazzi, C.L
Souza, E.G
Nobrega, L.H
Uribe-Opazo, M.A
Rocha, D.M
Nino, P
Vanino, S
Lupia, F
Altobelli, F
Vuolo, F
Namdarian, I
De Michele, C
Bertelsen, M.G
Nielsen, K
Nielsen, M.R
Nielsen, K
Nielsen, M.R
Virrankoski, R
Madetoja, M
Galzki, J
Nelson, J
Mulla, D
Pourshamsaei, H
Nobakhti, A
Pourshamsaei, H
Nobakhti, A
Vories, E
Jones, A
Stevens, G
Meeks, C
Vories, E
Veum, K
Sudduth, K
Shirtliffe, S
Ha, T
Nketia, K
Nketia, K
Ha, T
Fernando, H
Shirtliffe, S
van Steenbergen, S
Leininger, A
Verhoff, K
Lovejoy, K
Thomas, A
Davis, G
Emmons, A
Fulton, J.P
Topics
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
Proximal Sensing in Precision Agriculture
Engineering Technologies and Advances
Wireless Sensor Networks
Big Data, Data Mining and Deep Learning
On Farm Experimentation with Site-Specific Technologies
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Precision Agriculture for Sustainability and Environmental Protection
Data Analytics for Production Ag
Drone Spraying
Type
Poster
Oral
Year
2012
2014
2008
2018
2022
2024
Home » Authors » Results

Authors

Filter results13 paper(s) found.

1. Use of Chemical and Physical Attributes Of the Soil in Management Units Definition

Several equipments and methodologies have been developed to make available precision agriculture, especially the high cost of its implantation and sampling. An interesting possibility... C.L. Bazzi, E.G. Souza, L.H. Nobrega, M.A. Uribe-opazo, D.M. Rocha

2. Applications for Precision Agriculture: the Italian Experience of SIRIUS Project

    This paper reports the results of the project SIRIUS (Sustainable Irrigation water management and River-basin... P. Nino, S. Vanino, F. Lupia, F. Altobelli, F. Vuolo, I. Namdarian, C. De michele

3. 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

4. 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

5. CANopen Implementation To Wireless Sensor Network

Field buses are widely applied in the control of mobile machines. They enable us to build embedded control systems, where the sensors and actuators are connected to each other by the bus. The most commonly used bus standard for Control Area Network (CAN) between tractors and implements in agriculture and forestry is ISOBUS. Once the number of sensors and actuators increases in the implement side, a combination of ISOBUS and CANopen can be applied. CANopen is a communication protocol... R. Virrankoski, M. Madetoja

6. Identifying Critical Landscape Areas for Precision Conservation in the Minnesota River Basin

The Minnesota River Basin generates a disproportionately high amount of total suspended sediments to the Upper Mississippi River Basin. Many reaches in the Minnesota River Basin have impaired water quality due to turbidity. Critical landscapes can be divided into depressional areas, riparian areas, highly erodible lands, and areas susceptible to ephemeral gullies or ravines. Geographic Information Systems (GIS) were utilized, and terrain analysis was conducted using digital elevation models in... J. Galzki, J. Nelson, D. Mulla

7. A Comparative Study of Field-Wide Estimation of Soil Moisture Using Compressive Sensing

In precision agriculture, monitoring of soil moisture plays an essential role in correct decision making. In practice, regular mesh installation, or large random deployment of moisture sensors over a large field is not possible due to cost and maintenance prohibitions. Consequently, direct measurement of moisture is possible at only a few points in the field. A value for the moisture may then be estimated for the remaining areas using a variety of algorithms. It is shown that although... H. Pourshamsaei, A. Nobakhti

8. Optimal Sensor Placement for Field-Wide Estimation of Soil Moisture

Soil moisture is one of the most important parameters in precision agriculture. While techniques such as remote sensing seems appropriate for moisture monitoring over large areas, they generally do not offer sufficiently fine resolution for precision work, and there are time restrictions on when the data is available. Moreover, while it is possible to get high resolution-on demand data, but the costs are often prohibitive for most developing countries. Direct ground level measurement... H. Pourshamsaei, A. Nobakhti

9. Variety Effects on Cotton Yield Monitor Calibration

While modern grain yield monitors are able to harvest variety and hybrid trials without imposing bias, cotton yield monitors are affected by varietal properties. With planters capable of site-specific planting of multiple varieties, it is essential to better understand cotton yield monitor calibration. Large-plot field experiments were conducted with two southeast Missouri cotton producers to compare yield monitor-estimated weights and observed weights in replicated variety trials. Two replications... E. Vories, A. Jones, G. Stevens, C. Meeks

10. Impact of Cover Crop and Soil Apparent Electrical Conductivity on Cotton Development and Yield

Cotton is one of the major crops in the New Madrid Seismic Zone (NMSZ) of the U.S. Lower Mississippi River Valley region. Because cotton production doesn’t leave a lot of crop residue in the field, low soil organic matter levels are common. While the benefits of crop rotation are well known, cotton is often grown year after year in the same fields for economic reasons. Soils in the region are generally quite variable, with areas of very high sand content. Winter cover crops and reduced tillage... E. Vories, K. Veum, K. Sudduth

Showing 1 to 10 of 13 entries