Proceedings :: International Society of Precision Agriculture

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Botero, J.F

Stachniss, C

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Authors

Walter, A

Khanna, R

Lottes, P

Stachniss, C

Siegwart, R

Nieto, J

Liebisch, F

GUERRA, P

Raucci, A.R

Gutierrez , S.A

Botero, J.F

Kamienski, C

Campos de Oliveira, F.M

Topics

Applications of Unmanned Aerial Systems

Variable-Rate Irrigation, Drainage Optimization, and Water Management

Type

Oral

Year

2018

2026

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Filter results2 paper(s) found.
1. Flourish - A Robotic Approach for Automation in Crop Management The Flourish project aims to bridge the gap between current and desired capabilities of agricultural robots by developing an adaptable robotic solution for precision farming. Combining the aerial survey capabilities of a small autonomous multi-copter Unmanned Aerial Vehicle (UAV) with a multi-purpose agricultural Unmanned Ground Vehicle (UGV), the system will be able to survey a field from the air, perform targeted intervention on the ground, and provide detailed information for decision support,... A. Walter, R. Khanna, P. Lottes, C. Stachniss, R. Siegwart, J. Nieto, F. Liebisch Download paper
2. Soil-Sensing-Based Irrigation Decision Modeling for Greenhouse Tomato Crops Using Machine Learning Global agriculture faces increasing pressure to optimize water-use efficiency, particularly for high-demand crops like tomato (Solanum lycopersicum). Tomato is among the most widely consumed vegetables worldwide, playing a central role in global food systems. From an agronomic perspective, tomato crops are highly sensitive to water availability and distribution, requiring precise irrigation management to ensure sustainable production and high-quality yields. In controlled environments such as... P. Guerra, A.R. Raucci, S.A. Gutierrez , J.F. Botero, C. Kamienski, F.M. Campos De Oliveira Download paper

Filter results2 paper(s) found.

1. Flourish - A Robotic Approach for Automation in Crop Management

The Flourish project aims to bridge the gap between current and desired capabilities of agricultural robots by developing an adaptable robotic solution for precision farming. Combining the aerial survey capabilities of a small autonomous multi-copter Unmanned Aerial Vehicle (UAV) with a multi-purpose agricultural Unmanned Ground Vehicle (UGV), the system will be able to survey a field from the air, perform targeted intervention on the ground, and provide detailed information for decision support,... A. Walter, R. Khanna, P. Lottes, C. Stachniss, R. Siegwart, J. Nieto, F. Liebisch

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2. Soil-Sensing-Based Irrigation Decision Modeling for Greenhouse Tomato Crops Using Machine Learning

Global agriculture faces increasing pressure to optimize water-use efficiency, particularly for high-demand crops like tomato (Solanum lycopersicum). Tomato is among the most widely consumed vegetables worldwide, playing a central role in global food systems. From an agronomic perspective, tomato crops are highly sensitive to water availability and distribution, requiring precise irrigation management to ensure sustainable production and high-quality yields. In controlled environments such as... P. Guerra, A.R. Raucci, S.A. Gutierrez , J.F. Botero, C. Kamienski, F.M. Campos De Oliveira

Download paper