Scentific Production

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2023

Smartphone image-based framework for quick, non-invasive measurement of spray characteristics

  • Smart Agricultural Technology, Volume 3, February 2023, 100120 

2022

Identifying Nematode Damage on Soybean through Remote Sensing and Machine Learning Techniques

  • Agronomy 2022, 12(10), 2404; https://doi.org/10.3390/agronomy12102404 

UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean

  • Agronomy 2022, 12(10), 2284; https://doi.org/10.3390/agronomy12102284 

Loss sampling methods for soybean mechanical harvest

  • Bioscience Journal, 2022, https://doi.org/10.14393/BJ-v38n0a2022-56409

Peanut harvest quality: Relationship between soil tillage management and threshing systems

  • Spanish Journal of Agricultural Research 2022,  https://doi.org/ 10.5424/sjar/2022203-18704

The best moment to carry out the selective harvest of coffee fruits

  • Agronomy Journal 2022, 114 (); https://doi.org/10.1002/agj2.21175  

Integrating Satellite and UAV Data to Predict Peanut Maturity upon Artificial Neural Networks 

  • Agronomy 2022, 12(7), 1512; https://doi.org/10.3390/agronomy12071512 

UAVs to Monitor and Manage Sugarcane: Integrative Review

  • Agronomy 2022, v. 12, n.3, 661; https://doi.org/10.3390/agronomy12030661

Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

  • Bioscience Journal, 2022, v. 38 (Continuous Publication). https://doi.org/10.14393/BJ-v38n0a2022-55925

Assessing Intra-Row Spacing Using Image Processing: A Promising Digital Tool for Smallholder Farmers

  • Agronomy, 2022, 12(2), 301; https://doi.org/10.3390/agronomy12020301 

Quality in the mechanized harvesting corn sown at different speeds 

  • Brazilian Journal of Development, 2022, v.8, n.6, p.46058-46066

2021

Use of remote sensing to characterize the phenological development and to predict sweet potato yield in two growing seasons

  • European Journal of Agronomy, v. 129, September 2021, 126337. https://doi.org/10.1016/j.eja.2021.126337

High-resolution satellite image to predict peanut maturity variability in commercial fields

  • Precision Agriculture, Volume 22, pages 1464-1478, March 2021

Sugarcane base cutting quality using rectangular and circular blades 

  • Engenharia Agrícola, v. 41, n. 1, Jan-Feb 2021

2020

Methodology for selective cofee harvesting in management zones of yield and maturation 

  • August 2020
  • Precision Agriculture
  • DOI: 10.1007/s11119-020-09751-1

  • August 2020
  • Sugar Tech 
  • DOI: 10.1007/s12355-020-00868-1

Economic viability of a monitoring system in mechanized citrus production 

  • June 2020
  • Científica
  • DOI: 10.15361/1984-5529.2020v48n2p107-117

Variability of harvest loss in relation to physiological characteristics of cotton

  • April 2020
  • Acta Scientiarum
  • DOI: 10.4025/actasciagron.v42i1.42587

Can basal cutting blade wear affect sugarcane regrowth? 

  • March 2020
  • Computers and Electronics in Agriculture 171:105307

2019

Operational cost of mechanized harvesting of first-crop coffee

  • September 2019
  • Australian Journal of Crop Science 13(9):1503-10
  • DOI: 10.21475/ajcs.19.13.09.p1727

Development and technical validation of spray kit for coffee harvester 

  • March 2019
  • African journal of agricultural research 14(10):571-575
  • DOI: 10.5897/AJAR2018.13424

Morphological and productive influence of harvest on coffee plants 

  • January 2019
  • Australian Journal of Crop Science 13(01):144-150
  • DOI: 10.21475/ajcs.19.13.01.p6955

Adjustments for axial and sieves systems of coffee harvesters 

  • January 2019
  • African journal of agricultural research 14(3):173-179
  • DOI: 10.5897/AJAR2018.13425

Comparative performance of commonly used portable coffee harvesters 

  • January 2019
  • African journal of agricultural research 14(3):168-172
  • DOI: 10.5897/AJAR2018.13423

2018


2017