Proceedings :: International Society of Precision Agriculture

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Carreno, N.L

Buragienė, S

Farias, M.S

Gafni, R

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Authors

Šarauskis, E

Sokas, S

Bručienė, I

Buragienė, S

Kazlauskas, M

Naujokienė, V

Levanon, D

Cohen, Y

Gafni, R

Shmuel, L

Edan, Y

Gonçalves, L.M

Vasconcellos Lopes, B

Gallo, B.B

La Rosa, A

Fruchtenicht, D.A

Miler, C

Silveira, P

Carreno, N.L

Kaefer Seganfredo, G

Kern, L.G

Silveira Pavão, L

Müllich, A

Maldaner, I

Sgarbossa, J

, L

Rolim Farias da Silva, E

Farias, M.S

Topics

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Precision Crop Protection, Pest, and Plant Health

Precision Agriculture for Global Food Security

Site-Specific Nutrient, Lime and Seed Management

Type

Oral

Poster

Year

2026

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Filter results4 paper(s) found.
1. Precision Tillage Operations: Analyzing the Efficiency of Conventional and Robotic Systems ABSTRACT. The crop production sector is labor- and energy-intensive, significantly impacting the environment. Soil tillage is one of the most expensive and polluting technological operations; therefore, modern automated and precision technologies applied according to soil variability can help change economic costs and environmental pollution. This study evaluated the effects of site-specific variable depth tillage using two combinations of a conventional tractor and a multifunctional cultivator,... E. Šarauskis, S. Sokas, I. Bručienė, S. Buragienė, M. Kazlauskas, V. Naujokienė Download paper
2. 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
3. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and Fruits Cathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals and... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno Download paper
4. Relationship Between Temporal Variability of Soybean Yield and Stable Soil Attributes Management zones are widely used in precision agriculture and can be defined by different factors; however, uncertainties remain regarding their temporal stability when based on a single soil attribute. This study aimed to analyze the relationship between a temporal series of yield from five agricultural fields and four stable soil attributes—clay content, soil organic matter (SOM), Topographic Wetness Index (TWI), and apparent electrical conductivity (ECa)—using multiple linear regression... G. Kaefer Seganfredo, L.G. Kern, L. Silveira Pavão, A. Müllich, I. Maldaner, J. Sgarbossa, L. , E. Rolim Farias Da Silva, M.S. Farias Download paper

Filter results4 paper(s) found.

1. Precision Tillage Operations: Analyzing the Efficiency of Conventional and Robotic Systems

ABSTRACT. The crop production sector is labor- and energy-intensive, significantly impacting the environment. Soil tillage is one of the most expensive and polluting technological operations; therefore, modern automated and precision technologies applied according to soil variability can help change economic costs and environmental pollution. This study evaluated the effects of site-specific variable depth tillage using two combinations of a conventional tractor and a multifunctional cultivator,... E. Šarauskis, S. Sokas, I. Bručienė, S. Buragienė, M. Kazlauskas, V. Naujokienė

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2. 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

3. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and Fruits

Cathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals and... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno

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4. Relationship Between Temporal Variability of Soybean Yield and Stable Soil Attributes

Management zones are widely used in precision agriculture and can be defined by different factors; however, uncertainties remain regarding their temporal stability when based on a single soil attribute. This study aimed to analyze the relationship between a temporal series of yield from five agricultural fields and four stable soil attributes—clay content, soil organic matter (SOM), Topographic Wetness Index (TWI), and apparent electrical conductivity (ECa)—using multiple linear regression... G. Kaefer Seganfredo, L.G. Kern, L. Silveira Pavão, A. Müllich, I. Maldaner, J. Sgarbossa, L. , E. Rolim Farias Da Silva, M.S. Farias

Download paper