Proceedings :: International Society of Precision Agriculture

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Hegedűs, G

Thompson, C

Huang, C

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Authors

Walsh, O.S

Belmont, K

McClintick-Chess, J

Marshall, J

Jackson, C

Thompson, C

Swoboda, K

Zsebő, S

Kukorelli, G

Vona, V

Bede, L

Stencinger, D

Kovacs, A

Milics, G

Kulmany, I.M

Horváth, B

Hegedűs, G

Abdinoor, J.A

Huang, C

Topics

Precision Nutrient Management

Scouting and Field Data collection with Unmanned Aerial Systems

Type

Poster

Year

2016

2024

2025

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Filter results3 paper(s) found.
1. UAV-based Crop Scouting for Precision Nutrient Management Precision agriculture – is one of the most substantial markets for the Unmanned Aerial Vehicles (UAVs). Mounted on the UAVs, sensors and cameras enable rapid screening of large numbers of experimental plots to identify crop growth habits that contribute to final yield and quality in a variety of environments. Wheat is one of the Idaho’s most important cereal crops grown in 42 of 44 Idaho counties. We are working on establishing a UAV-based methodology for in-season prediction of wheat... O.S. Walsh, K. Belmont, J. Mcclintick-chess, J. Marshall, C. Jackson, C. Thompson, K. Swoboda Download paper
2. Comparison of NDVI Values at Different Phenological Stages of Winter Wheat (Triticum Aestivum L.) The main objective of this study is to monitor, detect and quantify the presence of live green vegetation with the MicaSense RedEdge-MX Dual Camera System (MS) mounted on a DJI Matrice 210 V2 and GreenSeeker HCS 250 (GS) in winter wheat (Triticum aestivum L.) by using Normalized Difference Vegetation Index (NDVI). Surveys were conducted in the North-Western part of Hungary, in Mosonmagyaróvár on six different dates. A small-scale field trial in winter wheat was constructed as a randomized... S. Zsebő, G. Kukorelli, V. Vona, L. Bede, D. Stencinger, A. Kovacs, G. Milics, I.M. Kulmany, B. Horváth, G. Hegedűs, J.A. Abdinoor Download paper
3. Deep Learning Based Image Recognition for the Detection of Natural Behaviors in Laying Hens Eggs are an important source of protein, widely favored and needed by the public. The production and quality of eggs are closely related to the rearing environment of laying hens. Common rearing methods include conventional cages, enriched cages, floor systems, and free-range systems. Different housing environments may influence the production efficiency of hens. In recent years, increasing attention has been given to balancing animal welfare with production efficiency. Animal welfare is closely... C. Huang Download paper

Filter results3 paper(s) found.

1. UAV-based Crop Scouting for Precision Nutrient Management

Precision agriculture – is one of the most substantial markets for the Unmanned Aerial Vehicles (UAVs). Mounted on the UAVs, sensors and cameras enable rapid screening of large numbers of experimental plots to identify crop growth habits that contribute to final yield and quality in a variety of environments. Wheat is one of the Idaho’s most important cereal crops grown in 42 of 44 Idaho counties. We are working on establishing a UAV-based methodology for in-season prediction of wheat... O.S. Walsh, K. Belmont, J. Mcclintick-chess, J. Marshall, C. Jackson, C. Thompson, K. Swoboda

Download paper

2. Comparison of NDVI Values at Different Phenological Stages of Winter Wheat (Triticum Aestivum L.)

The main objective of this study is to monitor, detect and quantify the presence of live green vegetation with the MicaSense RedEdge-MX Dual Camera System (MS) mounted on a DJI Matrice 210 V2 and GreenSeeker HCS 250 (GS) in winter wheat (Triticum aestivum L.) by using Normalized Difference Vegetation Index (NDVI). Surveys were conducted in the North-Western part of Hungary, in Mosonmagyaróvár on six different dates. A small-scale field trial in winter wheat was constructed as a randomized... S. Zsebő, G. Kukorelli, V. Vona, L. Bede, D. Stencinger, A. Kovacs, G. Milics, I.M. Kulmany, B. Horváth, G. Hegedűs, J.A. Abdinoor

Download paper

3. Deep Learning Based Image Recognition for the Detection of Natural Behaviors in Laying Hens

Eggs are an important source of protein, widely favored and needed by the public. The production and quality of eggs are closely related to the rearing environment of laying hens. Common rearing methods include conventional cages, enriched cages, floor systems, and free-range systems. Different housing environments may influence the production efficiency of hens. In recent years, increasing attention has been given to balancing animal welfare with production efficiency. Animal welfare is closely... C. Huang

Download paper