Soil Fertility and Carbon Stock Variability for Defining Management Zones in Tropical Agricultural Systems

The definition of management zones is an essential strategy for optimizing agricultural productivity, enabling the efficient use of inputs and the minimization of environmental impacts. This study aims to identify and classify management zones in a cultivated area, considering spatial variations in soil fertility and carbon content. The methodology employed includes the analysis of spatial data through geotechnologies, combined with fuzzy logic for categorizing areas into management classes. The results indicate that lower-quality regions present distinct edaphic characteristics, being mostly composed of dystrophic Red-Yellow Argisol, which negatively affects productivity due to lower water retention capacity and poor fertility. In addition, a correlation between soil carbon content and fertility was identified, showing that areas with lower carbon stocks tend to be less productive. The application of these techniques allowed for a more precise approach to agricultural management, promoting sustainable practices that enhance productive efficiency and reduce environmental degradation.

Authors

Institutions

Publication Details

Journal
AgriEngineering
Published
2025-09-22
DOI
https://doi.org/10.3390/agriengineering7090308
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soil Fertility and Carbon Stock Variability for Defining Management Zones in Tropical Agricultural Systems

Eduardo Barretto de Figueiredo, Paulo Daniel Filho
AgriEngineering
Soil Carbon and Nitrogen Dynamics
article

Soil Fertility and Carbon Stock Variability for Defining Management Zones in Tropical Agricultural Systems

Eduardo Barretto de Figueiredo, Paulo Daniel Filho
article en

Abstract

The definition of management zones is an essential strategy for optimizing agricultural productivity, enabling the efficient use of inputs and the minimization of environmental impacts. This study aims to identify and classify management zones in a cultivated area, considering spatial variations in soil fertility and carbon content. The methodology employed includes the analysis of spatial data through geotechnologies, combined with fuzzy logic for categorizing areas into management classes. The results indicate that lower-quality regions present distinct edaphic characteristics, being mostly composed of dystrophic Red-Yellow Argisol, which negatively affects productivity due to lower water retention capacity and poor fertility. In addition, a correlation between soil carbon content and fertility was identified, showing that areas with lower carbon stocks tend to be less productive. The application of these techniques allowed for a more precise approach to agricultural management, promoting sustainable practices that enhance productive efficiency and reduce environmental degradation.

AgriEngineeringVol. 7(9)
Universidade Federal de São Carlos (BR)
Openalex Percentile: Top 67%
Soil Carbon and Nitrogen Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.