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Khanal, S
Kshetri, S
Siliveru, K
Sulyok, D
Oerke, E
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Authors
Oerke, E
Dehne, H
Steiner, U
Gómez, S
Rátonyi, T
Ragán, P
Sulyok, D
Nagy, J
Harsányi, E
Vántus, A
Csatári, N
He, Z
Manoj, K
Zhang, Q
Kshetri, S
KC, K
Khanal, S
Bello, N
Culman, S
Armstrong, P.R
Pordesimo, L.O
Siliveru, K
Gerken, A.R
Serfa Juan, R.O
Topics
Precision Crop Protection
On Farm Experimentation with Site-Specific Technologies
Big Data, Data Mining and Deep Learning
Data Analytics for Production Ag
Artificial Intelligence (AI) in Agriculture
Type
Poster
Oral
Year
2012
2018
2022
2024
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Authors

Filter results5 paper(s) found.

1. Thermography as Sensor for Downy Mildew on Roses

Downy mildew caused by Peronospora sparsa is considered one of the most important diseases affecting cut roses under glass in the tropic. Under favorable... E. Oerke, H. Dehne, U. Steiner, S. Gómez

2. Evaluation of Strip Tillage Systems in Maize Production in Hungary

Strip tillage is a form of conservation tillage system. It combines the benefits of conventional tillage systems with the soil-protecting advantages of no-tillage. The tillage zone is typically 0.25 to 0.3 m wide and 0.25 to 0.30 m deep. The soil surface between these strips is left undisturbed and the residue from the previous crop remain on the soil surface. The residue-covered area reaches 60-70%. Keeping residue on the surface helps prevent soil structure and reduce water loss from the soil.... T. Rátonyi, P. Ragán, D. Sulyok, J. Nagy, E. Harsányi, A. Vántus, N. Csatári

3. Real-time Detection of Picking Region of Ridge Planted Strawberries Based on YOLOv5s with a Modified Neck

Robotic strawberry harvesting requires machine vision system to have the ability to detect the presence, maturity, and location of strawberries. Strawberries, however, can easily be bruised, injured, and even damaged during robotic harvest if not picked properly because of their soft surfaces. Therefore, it is important to cut or pick the strawberry stems instead of picking the fruit directly. Additionally, real-time detection is critical for robotic strawberry harvesting to adapt to the changing... Z. He, K. Manoj, Q. Zhang, S. Kshetri

4. Assessing the Variability in Cover Crop Growth Due to Management Practices and Biophysical Conditions Using a Mixed Modeling Approach

Planting winter cover crops provides numerous agronomic and environmental benefits. Cereal rye, which is a commonly planted cover crop in Ohio, when established, offers advantages such as recycling residual nitrogen in the soil, enhancing soil organic matter, and reducing nutrient loss. However, understanding cover crop growth is challenging due to field management and weather conditions, and insights using traditional methods are limited. Remote sensing offers a cost-effective and timely alternative... K. Kc, S. Khanal, N. Bello, S. Culman

5. Advanced Classification of Beetle Doppelgängers Using Siamese Neural Networks and Imaging Techniques

The precise identification of beetle species, especially those that have similar macrostructure and physical characteristics, is a challenging task in the field of entomology. The term "Beetle Doppelgängers" refers to species that exhibit almost indistinguishable macrostructural characteristics, which can complicate tasks in ecological studies, conservation efforts, and pest management. The core issue resides in their striking similarity, frequently confusing both experts and automated... P.R. Armstrong, L.O. Pordesimo, K. Siliveru, A.R. Gerken, R.O. Serfa juan