Proceedings :: International Society of Precision Agriculture

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Gafni, R

G. Ferreira, G

Yılmaz, H

Guimarães, C

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Authors

Karayel, D

Jotautiene, E

Yılmaz, H

H. S. Sousa , F

S. Maciel, T

M. dos Reis, M

Santos, R.D

M. Santos, A

M. S. de Souza, A

K. F. Veras, A

G. Ferreira, G

P. M. Nunes, M

C. R. Seruffo, M

C. C. Daher, L

G.M. Silva, A

Levanon, D

Cohen, Y

Gafni, R

Shmuel, L

Edan, Y

Fonteca, V

Guimarães, C

Monteiro, M

Azevedo, I

da Rosa, A

Wagner, N.K

Teixeira, C

Topics

Agricultural Robotics, Automation, and Mechanization

UAV-Based Scouting, Imaging, and Targeted Applications

Precision Crop Protection, Pest, and Plant Health

Type

Poster

Oral

Year

2026

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Filter results4 paper(s) found.
1. A Seeder for Sustainable Agriculture Enabling Intercropping and Multi-Variety Sowing and Adaptable to Precision Agriculture through Variable-Rate Seeding Davut Karayel1,2 Egle Jotautiene2 Hasan Yılmaz1,2 1Akdeniz University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering, Antalya, Turkey 2Vytautas Magnus University, Agriculture Academy, Faculty of Engineering, Department of Agricultural Engineering and Safety, Kaunas, Lithuania. Corresponding author and presenter Abstract Adapting... D. Karayel, E. Jotautiene, H. Yılmaz Download paper
2. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems Brazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva
3. Spatio-Temporal Sampling-Point Allocation for High-Density Robotic Pest Monitoring and Precision Treatment Efficient monitoring of pests in crops, such as the two-spotted spider mite (Tetranychus urticae), is essential for optimizing pesticide application and minimizing yield losses. However, conventional manual scouting is labor-intensive and costly, limiting spatial coverage and sampling frequency. Consequently, infestation hotspots are often detected too late, reducing the effectiveness of timely and targeted interventions. This limitation... D. Levanon, Y. Cohen, R. Gafni, L. Shmuel, Y. Edan Download paper
4. A Architecture for GNSS-Based Autonomous Navigation in Agricultural Robots Global Navigation Satellite Systems (GNSS), especially when used with real-time correction techniques such as Real-Time Kinematic (RTK), are widely employed in precision agriculture due to their ability to provide accurate absolute positioning. This capability enables georeferenced operations such as planting, selective spraying, and autonomous navigation across large agricultural areas, even in environments with few structural references. In contrast, modern robotic navigation frameworks, such... V. Fonteca, C. Guimarães, M. Monteiro, I. Azevedo, A. Da Rosa, N.K. Wagner, C. Teixeira Download paper

Filter results4 paper(s) found.

1. A Seeder for Sustainable Agriculture Enabling Intercropping and Multi-Variety Sowing and Adaptable to Precision Agriculture through Variable-Rate Seeding

Davut Karayel*1,2 Egle Jotautiene2 Hasan Yılmaz1,2 1Akdeniz University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering, Antalya, Turkey 2Vytautas Magnus University, Agriculture Academy, Faculty of Engineering, Department of Agricultural Engineering and Safety, Kaunas, Lithuania. * Corresponding author and presenter Abstract Adapting... D. Karayel, E. Jotautiene, H. Yılmaz

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2. Development and Field Validation of a Scalable UAV-Based Framework for Automated Cattle Counting and Herd Management in Extensive Production Systems

Brazil holds the largest commercial cattle herd in the world, with more than 230 million head, representing approximately 20% of the global population. In this context, technologies capable of optimizing herd monitoring are strategic for increasing production efficiency, reducing operational costs, and promoting sustainability in livestock systems. Among these technologies, computer vision–based systems have emerged as a promising alternative for automated animal detection and counting in... F. H. S. Sousa , T. S. Maciel, M. M. Dos Reis, R.D. Santos, A. M. Santos, A. M. S. De Souza, A. K. F. Veras, G. G. Ferreira, M. P. M. Nunes, M. C. R. Seruffo, L. C. C. Daher, A. G.m. Silva

3. Spatio-Temporal Sampling-Point Allocation for High-Density Robotic Pest Monitoring and Precision Treatment

Efficient monitoring of pests in crops, such as the two-spotted spider mite (Tetranychus urticae), is essential for optimizing pesticide application and minimizing yield losses. However, conventional manual scouting is labor-intensive and costly, limiting spatial coverage and sampling frequency. Consequently, infestation hotspots are often detected too late, reducing the effectiveness of timely and targeted interventions. This limitation... D. Levanon, Y. Cohen, R. Gafni, L. Shmuel, Y. Edan

Download paper

4. A Architecture for GNSS-Based Autonomous Navigation in Agricultural Robots

Global Navigation Satellite Systems (GNSS), especially when used with real-time correction techniques such as Real-Time Kinematic (RTK), are widely employed in precision agriculture due to their ability to provide accurate absolute positioning. This capability enables georeferenced operations such as planting, selective spraying, and autonomous navigation across large agricultural areas, even in environments with few structural references. In contrast, modern robotic navigation frameworks, such... V. Fonteca, C. Guimarães, M. Monteiro, I. Azevedo, A. Da Rosa, N.K. Wagner, C. Teixeira

Download paper