Abstract

ABSTRACT The identification of stress conditions in soybean crops is, in most cases, inaccurate, since they may not be noticeable to their full extent if only walking observations are carried out in the crop fields. This study aimed to identify the stress conditions in soybean crops, in three growing environments, in the Minas Gerais state, Brazil, using image processing techniques obtained by UAV, leaf and soil sensors, and climate data. The surveys encompassed two growth stages [beginning of blooming (R1) and beginning of seed enlargement (R5)] and consisted on UAV flights; mapping of chlorophyll content, soil moisture and soil pH; in addition to climate data. The HSV and yCbCr color models applied to RGB images showed the best Kappa accuracy index for the identification of crop features. The soil pH and moisture (water availability), solar radiation and temperature affected the crop growth and development in the study regions, in the R1 and R5 reproductive stages. However, the soil pH had less influence than the climatic variables. The R5 stage showed a greater vulnerability to stress caused by soil moisture and temperature.

Highlights

  • Brazil is the second largest soybean producer in the world, with an area of 35.657 million hectares and yield of 123.664 million tons, in the 2018/2019 harvest, accounting for 31.7 % of the global production (Embrapa Soja 2019), being the Minas Gerais state the seventh largest producer in the country (IBGE 2018).Such expansion of soybean crops may lead to increased limiting factors related to climate, soil and biological agents

  • This study aimed to identify stress conditions in soybean crops, in three cultivation environments, using images obtained by unmanned aerial vehicles (UAV) processing techniques, leaf and soil sensor, and climatic data, in areas representative of the main producing regions of the Minas Gerais state

  • The surveys consisted of UAV flights; mapping of chlorophyll content, soil moisture and soil pH; as well as climate data obtained from weather stations located at the crop fields and/or in neighboring municipalities

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Summary

Introduction

Brazil is the second largest soybean producer in the world, with an area of 35.657 million hectares and yield of 123.664 million tons, in the 2018/2019 harvest, accounting for 31.7 % of the global production (Embrapa Soja 2019), being the Minas Gerais state the seventh largest producer in the country (IBGE 2018). Such expansion of soybean crops may lead to increased limiting factors related to climate, soil and biological agents. The crop regions under stress conditions may not be thoroughly noticeable

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