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Munar Vivas, O
Mhlongo, N
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Authors
Cuitiva Baracaldo, R
Munar Vivas, O
Carrillo Romero, G
Anderson-Guerrero, S
Caballero-Rodriguez, A.M
Munar Vivas, O
Mateus-Rodriguez, J.F
Mhlongo, N
de knegt, H
de Boer, W.F
Van Langevelde, F
Topics
Geospatial Data
Precision Agriculture for Sustainability and Environmental Protection
Farm Animals Health and Welfare Monitoring
Type
Oral
Poster
Year
2018
2024
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Authors

Filter results3 paper(s) found.

1. GIS Web and Mobile Development with Interfaces in QGIS for Variable Rate Fertilization

In this paper we described the implementation of a GIS for Precision Agriculture for sugarcane crop in Colombia. An spatial equation for Variable Rate Fertilization Model was defined using as inputs estimated harvest data, nutrients in soil and fertilizer efficiently. Models for soil and harvest variability are also defined. A personalized plugin for precision agriculture was developed into QGIS software, there is the option of upload maps to a Web and mobile app using the Desktop software and... R. Cuitiva Baracaldo, O. Munar Vivas, G. Carrillo Romero

2. Eco-friendly LiDAR Drone Surveying for Sugarcane Land Leveling in the Cauca River Valley, Colombia

Land leveling is a crucial process in sugarcane cultivation in the Cauca River Valley. It plays a vital role in ensuring proper water flow within the fields, reducing fuel consumption for water pumping, promoting seed emergence, and facilitating other mechanized tasks that can be carried out more quickly and efficiently. Traditionally, land leveling involves the use of high-powered tractors (typically around 310 horsepower) equipped with high-precision topographic survey systems from... S. Anderson-guerrero, A.M. Caballero-rodriguez, O. Munar Vivas, J.F. Mateus-rodriguez

3. Lameness Detection in Dairy Cattle Using GPS and Accelerometers Wearable Sensors

Lameness significantly impacts cow health and welfare on dairy farms, yet identifying lamecows remains challenging. Wearable sensors like GPS and accelerometers show promise for automated lameness detection, but their effectiveness outdoors is still unclear. Therefore, there are gaps in understanding their applicability and the necessary features for outdoor settings. Additionally, it is uncertain whether environmental factors, such as temperature and time of day, influence their the model performance,... N. Mhlongo, H. De Knegt, W.F. De Boer, F. Van Langevelde