- Soil Management and Crop Yield
- Peanut Plant Research Studies
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Agricultural Engineering and Mechanization
- Spectroscopy and Chemometric Analyses
- Sugarcane Cultivation and Processing
- Agricultural and Food Sciences
- Growth and nutrition in plants
- Crop Yield and Soil Fertility
- Leaf Properties and Growth Measurement
- Water Quality Monitoring and Analysis
- Soil Mechanics and Vehicle Dynamics
- Geography and Environmental Studies
- Remote Sensing and LiDAR Applications
- Soybean genetics and cultivation
- Remote Sensing and Land Use
- Research in Cotton Cultivation
- Irrigation Practices and Water Management
- Coconut Research and Applications
- Rice Cultivation and Yield Improvement
- Agriculture, Plant Science, Crop Management
- Environmental and biological studies
- Advanced Chemical Sensor Technologies
- Soil Geostatistics and Mapping
Universidade Tecnológica Federal do Paraná
2023-2024
Universidade Federal de Lavras
2023
Louisiana State University
2021-2022
Universidade Estadual Paulista (Unesp)
2015-2021
Prefeitura do Município de São Paulo
2020
Auburn University
2020
Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro
2018
Núcleo de Pesquisas Aplicadas (Brazil)
2017
Remote sensing (RS) in agriculture has been widely used for mapping soil, plant, and atmosphere attributes, as well helping the sustainable production of crop by providing possibility application at variable rates estimating productivity agricultural crops. In this way, proximal sensors RS help producers decision-making to increase productivity. This research aims identify best feature importance ranking Random Forest Classifier predict cotton yield select which one correlates with yield....
ABSTRACT Assuring the quality of mechanical soybean harvesting is crucial to ensure that investment in other stages crop production converted into profit for farmer. Because this operation related decreased losses, which may be affected by combine header used and speed, aim present study was assess Southern Cone Rondônia, using harvesters with different headers travel speeds via statistical process control. The experiment performed during 2015/16 harvest an agricultural area municipality...
The successful establishment of agricultural crops depends on sowing quality, machinery performance, soil type and conditions, among other factors. This study evaluates the operational quality mechanized peanut in three types (sand, silt, clay) with variable moisture contents. experiment was conducted locations state São Paulo, Brazil. track-sampling scheme used for 80 sampling each type. Descriptive statistics statistical process control (SPC) were to evaluate indicators sowing. variables...
Active optical sensors have been widely used for the spatial and temporal monitoring of peanut culture because they are accurate, non-destructive methods rapidly obtaining data. The objective this study was to determine optimal stage crop growth collecting sensor readings based on correlations between quality indicators. In addition, we compared vegetation indices (Normalized Difference Vegetation Index [NDVI], Normalized Red-Edge Index, [NDRE], Inverse Ratio [IRVI]) by variability in order...
Technological evolution is essential to make irrigated agriculture more effi cient in the use of water.Thus, this review article aims contextualize irrigation age 4.0 order address how these new technologies are impacting rational water.With regard automation systems, ciency with moisture sensors, applications using smartphone, controllers and fertilizer injectors, as well their operation can promote irrigation, was addressed.Regarding management, remote sensing an option determine crop...
ABSTRACT Over the past decade, automatic guidance of agricultural machinery via Global Navigation Satellite System (GNSS) signals has been increasingly adopted by farming community. Peanut farmers are adopting such technology in order to improve parallelism operations address difficulties that occur mechanical digging, where losses a big problem. This study aimed evaluate mechanized peanut sowing and digging controlled manually autopilot, along with their quality. The treatments consisted...
The knowledge of the operational quality soybean harvester provides useful information to management in order obtain maximum performance all available resources, with minimal expenses. aimed this study was evaluate mechanized harvesting operation different formats plots through statistical process control. Treatments were established from existing area (irregular, trapezoidal and rectangular). activities carried out during harvest monitored (harvesting, unloading, handling, maneuvering...
The biophysical characteristics of vegetative canopies, such as biomass, height, and canopy diameter, are paramount importance for the study development productive behavior crops. Faced with a scarcity studies aimed at estimating these parameters, objective this was to evaluate performance artificial neural networks (ANNs) applied Proximal Remote Sensing (PRS) estimate soybean culture. data used train validate ANNs came from an experiment composed 65 plots 30 x m mesh, its carried out in...
A caracterização morfométrica das bacias hidrográficas propicia a uma rápida avaliação dos mananciais e seus respectivos potenciais de degradação. Assim, com este trabalho objetivou-se fazer inseridas no município Rio Verde, Goiás, como ferramenta ao planejamento urbano agrícola. Foram analisadas nove dentro do Verde. As maior potencial grandes enchentes foram as que possuem forma circular sendo parte destas ocupadas por áreas agricultáveis, o pode comprometer economia local. variáveis...
Agriculture 4.0 involves the incorporation of information and communication technologies into machines, equipment, sensors for use in agricultural production systems.It aims to ease decision-making processes.Statistical Quality Control (SQC) is a statistical method with several techniques tools used analyze variability.These can be provide important decision making, including mechanized operations.This paper aimed characterize worldwide scientifi c literature on Statistical Process...
Machine harvesting is an essential step of crop production, considering a dynamic operation, and subject to losses due several factors that affect its quality. The objective this study was evaluate the quality mechanized peanut pickers in three soil tillage operations using Statistical Quality Control (SQC) tools. We conducted experiments field located at 21°20′23″ S 47°54′06″ W Brazilian farmers. used Statistic experimental design monitor during machine harvesting. treatments evaluated were...
Digital agriculture contributes to agricultural effi ciency through the use of such tools as computer vision, robotics, and precision agriculture.In this study, objective was develop a system capable classifying images recognition pre-established patterns.For purpose, geographically distributed created, based on Raspberry Pi 3B+ computer, which captures in fi eld stores them database, where they are available receive pre-classifi cation by supervisor.Subsequently, classifi ers generated,...
With the expansion of areas sugarcane cultivation, mechanised fertilisation is essential for providing improved operational performance, optimising supply nutrients and increasing productivity. However, this type may present deficiencies in area distribution, such as fluidity, separation, particle size, among others. A new concept therefore being developed, capable carrying out individual application nitrogen, phosphorus potassium, distributing these various doses, with greater efficiency...
A new concept of fertilizer machine is under development and shows as differential individually application, that sources N, P K are applied separately for the purpose improving distribution efficiency quantities applied. The aim was to compare quality individualized mechanized in combined operations with without herbicide well evaluate application on each side machine. experiment carried out Cascavel farm, municipality MatãoSP. experimental design established according criteria control,...
Green Chemistry aims to prevent pollution resulting from activities in the chemical sector. Generally, laboratory generate because toxic substances are used perform analyses, which produce waste once analyses completed. This study aimed monitor quality of Uberaba River using more sustainable and non-destructive techniques through orbital remote sensing develop methods for estimating water at reduced costs sensors machine learning. The values parameters, such as iron, nitrate, chloride, total...
An appropriate sowing process is one of the steps that need immediate attention in crop sciences, because it may compromise profitability crops. effective requires correctly spaced seedlings with right depth order to obtain an and uniform stand. In this context, statistical control option allows evaluation agricultural process. Our objective study was evaluate quality maize as a function planting density working speeds. The design used based on methodology control, corresponding 4 seed...
Abstract Remote sensing tools are helpful in monitoring and managing crop production. However, each remote technology responds to variability differently. In this way, the objective of work was compare sensors on airborne orbital platforms observe which one has best quality determine behavior peanut ( Arachis hypogaea L.) variability. The experimental design followed premises statistical control (SQC), with samples collected over time. area composed 30 sampling points spaced every 50 m....