| Convolutional neural networks in predicting cotton yield from images of commercial fields D Tedesco-Oliveira, RP da Silva, W Maldonado Jr, C Zerbato Computers and Electronics in Agriculture 171, 105307, 2020 | 65 | 2020 |
| Use of remote sensing to characterize the phenological development and to predict sweet potato yield in two growing seasons D Tedesco, MF de Oliveira, AF dos Santos, EHC Silva, G de Souza Rolim, ... European Journal of Agronomy 129, 126337, 2021 | 32 | 2021 |
| Sustainable management of sweet potatoes: A review on practices, strategies, and opportunities in nutrition-sensitive agriculture, energy security, and quality of life D Tedesco, BR de Almeida Moreira, MRB Júnior, M Maeda, RP da Silva Agricultural Systems 210, 103693, 2023 | 22 | 2023 |
| UAVs to monitor and manage sugarcane: integrative review MR Barbosa Júnior, BRA Moreira, AL Brito Filho, D Tedesco, ... Agronomy 12 (3), 661, 2022 | 16 | 2022 |
| Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices D Tedesco, BR de Almeida Moreira, MRB Júnior, JP Papa, RP da Silva Computers and Electronics in Agriculture 191, 106544, 2021 | 15 | 2021 |
| High-resolution satellite image to predict peanut maturity variability in commercial fields AF dos Santos, LN Corrêa, LN Lacerda, D Tedesco-Oliveira, C Pilon, ... Precision Agriculture 22 (5), 1464-1478, 2021 | 15 | 2021 |
| Mapping gaps in sugarcane by UAV RGB imagery: the lower and earlier the flight, the more accurate MR Barbosa Júnior, D Tedesco, RG Corrêa, BRA Moreira, RP Silva, ... Agronomy 11 (12), 2578, 2021 | 12 | 2021 |
| Can basal cutting blade wear affect sugarcane regrowth? L Bernache, D Tedesco-Oliveira, LP Oliveira, LN Corrêa, RP Silva Engenharia Agrícola 40, 53-60, 2020 | 11 | 2020 |
| Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption MRB Júnior, BR de Almeida Moreira, V dos Santos Carreira, ... Computers and Electronics in Agriculture 221, 108993, 2024 | 6 | 2024 |
| Monitoring coffee fruit maturity using an enhanced convolutional neural network under different image acquisition settings EH Kazama, D Tedesco, V dos Santos Carreira, MRB Júnior, ... Scientia Horticulturae 328, 112957, 2024 | 6 | 2024 |
| The time of day is key to discriminate cultivars of sugarcane upon imagery data from unmanned aerial vehicle MR Barbosa Júnior, D Tedesco, VS Carreira, AA Pinto, BRA Moreira, ... Drones 6 (5), 112, 2022 | 5 | 2022 |
| Remote sensing on alfalfa as an approach to optimize production outcomes: A review of evidence and directions for future assessments D Tedesco, L Nieto, C Hernández, JF Rybecky, D Min, A Sharda, ... Remote Sensing 14 (19), 4940, 2022 | 4 | 2022 |
| Assessing intra-row spacing using image processing: a promising digital tool for smallholder farmers VDS Carreira, D Tedesco, ADS Carreira, RP da Silva Agronomy 12 (2), 301, 2022 | 3 | 2022 |
| Comparison of machine learning techniques in cotton yield prediction using satellite remote sensing F Morelli-Ferreira, NJC Maia, D Tedesco, EH Kazama, FM Carneiro, ... Preprints, 2021 | 2 | 2021 |
| A global dataset for assessing nitrogen-related plant traits using drone imagery in major field crop species D Castilho, D Tedesco, C Hernandez, BE Madari, I Ciampitti Scientific Data 11 (1), 585, 2024 | | 2024 |
| Predicting below and above-ground peanut biomass and maturity using multi-target regression MF Oliveira, FM Carneiro, BV Ortiz, M Thurmond, LP Oliveira, Y Bao, ... Computers and Electronics in Agriculture 218, 108647, 2024 | | 2024 |
