Title:	Profitability mapping in precision agriculture: na economic-spatial model applied to soybean farming in northwestern Mato Grosso.
Authors:	MACEDO, W. N. GEBLER, L.
Affiliation:	WAGNER N. MACEDO, UNIVERSIDADE FEDERAL DE SANTA MARIA; LUCIANO GEBLER, CNPUV.
Date Issued:	2026
Citation:	In: INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, 17., CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO DIGITAL, 11., 2026, Porto Alegre, RS. Anais...Porto Alegre: AsBraAP; AP&D, de 13 a 16 de julho de 2026.
Description:	Precision agriculture generates large volumes of spatial data; however, their integration into economic decision models and financial planning still presents a significant gap. This paper presents and validates a parameterized economic simulation tool built in an Excel spreadsheet to support decision-making by rural producers in Precision Agriculture (PA) systems. The tool integrates historical production cost data from IMEA/Senar-MT (crop years 2021/22 to 2025/26) with parameters from productive stability zones (ZAE, ZME, ZBE, and Variable/Unstable), calculating Gross Margin, Break-Even Point, and Safety Margin by zone and by crop year, under both Fixed Rate (FR) and Variable Rate (VR) management. The difference between margins constitutes the Spatial Information Value (SIV), an economic indicator of the return from sitespecific management. The structure comprises seven interdependent analytical modules: IMEA historical series, zone analysis under FR, zone analysis under VR, weighted FR vs. VR comparison, simulation of eight risk scenarios per zone, scenario summary matrix, and twodimensional price-productivity sensitivity analysis. Results show that total operating cost (COT) grew 38.3% over the period, the Safety Margin declined from 30.71 sc/ha to 8.07 sc/ha, and the average SIV was R$ 75.07/ha (R$ 325,313.65/crop year on the farm). The tool constitutes a practical, renewable, and low-cost instrument to support decision-making on farms adopting PA.
NAL Thesaurus:	Precision agriculture
Keywords:	Profitability mapping Stability zones Soybean IMEA Scenario analysis
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPUV)