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AfPCA Proceedings 2024

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Rabiu Garba, A
Becker, M
Buttafuoco, G
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Authors
Aboelkhier, H
Nasrallah, A
Shaddad, S
Buttafuoco, G
Higuti, V.A
Velasquez, A.E
Gasparino, M.V
Magalhães, D.V
Becker, M
Milori, D.M
Aroca, R.V
Topics
Precision Nutrient Management
Robotics, Automation, and Small Farm Mechanization
Type
Poster
Oral
Year
2020
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Authors

Filter results2 paper(s) found.

1. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

2. LiDAR-based soybean crop segmentation for autonomous navigation

The technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca