Lucas Costa

806 total citations
20 papers, 532 citations indexed

About

Lucas Costa is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Lucas Costa has authored 20 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 12 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Lucas Costa's work include Remote Sensing in Agriculture (12 papers), Smart Agriculture and AI (11 papers) and Remote Sensing and LiDAR Applications (6 papers). Lucas Costa is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Smart Agriculture and AI (11 papers) and Remote Sensing and LiDAR Applications (6 papers). Lucas Costa collaborates with scholars based in United States and Brazil. Lucas Costa's co-authors include Yiannis Ampatzidis, Victor Partel, Ute Albrecht, Brenon Diennevan Souza Barbosa, Gabriel Araújo e Silva Ferraz, Lu Zhang, Marcelo Wallau, Md Ali Babar, Niels O. Maness and Mostafa Reisi Gahrooei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agronomy Journal and Computers and Electronics in Agriculture.

In The Last Decade

Lucas Costa

19 papers receiving 504 citations

Peers

Lucas Costa
John Nowatzki United States
Jizhong Deng China
Victor Partel United States
Ajay Sharda United States
Everton Castel�ão Tetila Brazil
Fenghua Yu China
Sierra Young United States
Jorge Martínez-Guanter Spain
Orly Enrique Apolo-Apolo Spain
Mar Ariza-Sentís Netherlands
John Nowatzki United States
Lucas Costa
Citations per year, relative to Lucas Costa Lucas Costa (= 1×) peers John Nowatzki

Countries citing papers authored by Lucas Costa

Since Specialization
Citations

This map shows the geographic impact of Lucas Costa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lucas Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Costa more than expected).

Fields of papers citing papers by Lucas Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas Costa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lucas Costa. The network helps show where Lucas Costa may publish in the future.

Co-authorship network of co-authors of Lucas Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Costa. A scholar is included among the top collaborators of Lucas Costa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucas Costa. Lucas Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ampatzidis, Yiannis, Lucas Costa, & Ute Albrecht. (2023). Precision nutrient management utilizing UAV multispectral imaging and artificial intelligence. Acta Horticulturae. 321–330. 1 indexed citations
2.
Maness, Niels O., et al.. (2022). Selecting non-linear mixed effect model for growth and development of pecan nut. Scientia Horticulturae. 309. 111614–111614. 3 indexed citations
3.
Ampatzidis, Yiannis, et al.. (2022). Tree-level citrus yield prediction utilizing ground and aerial machine vision and machine learning. SHILAP Revista de lepidopterología. 3. 100077–100077. 20 indexed citations
4.
Ampatzidis, Yiannis, et al.. (2022). Tree-Level Citrus Yield Prediction Utilizing Ground and Aerial Machine Vision and Machine Learning. SSRN Electronic Journal. 2 indexed citations
5.
Sandhu, Hardev S., et al.. (2022). Prediction of morpho-physiological traits in sugarcane using aerial imagery and machine learning. SHILAP Revista de lepidopterología. 3. 100104–100104. 11 indexed citations
6.
Costa, Lucas, et al.. (2022). Sugarcane yield prediction and genotype selection using unmanned aerial vehicle‐based hyperspectral imaging and machine learning. Agronomy Journal. 114(4). 2320–2333. 18 indexed citations
7.
8.
Costa, Lucas, et al.. (2021). Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning. Precision Agriculture. 23(3). 854–875. 48 indexed citations
9.
10.
Costa, Lucas, et al.. (2021). Measuring pecan nut growth utilizing machine vision and deep learning for the better understanding of the fruit growth curve. Computers and Electronics in Agriculture. 181. 105964–105964. 26 indexed citations
11.
12.
Partel, Victor, Lucas Costa, & Yiannis Ampatzidis. (2021). Smart tree crop sprayer utilizing sensor fusion and artificial intelligence. Computers and Electronics in Agriculture. 191. 106556–106556. 37 indexed citations
13.
Partel, Victor, Lucas Costa, & Yiannis Ampatzidis. (2021). Smart citrus tree sprayer using sensor fusion and artificial intelligence.
14.
Ampatzidis, Yiannis, et al.. (2021). Horse foraging behavior detection using sound recognition techniques and artificial intelligence. Computers and Electronics in Agriculture. 183. 106080–106080. 18 indexed citations
15.
Barbosa, Brenon Diennevan Souza, et al.. (2021). UAV-based coffee yield prediction utilizing feature selection and deep learning. SHILAP Revista de lepidopterología. 1. 100010–100010. 47 indexed citations
16.
Ampatzidis, Yiannis, et al.. (2020). Horse foraging behavior detection using Recurrent Neural Networks.. 2 indexed citations
17.
Partel, Victor, Jin-Ho Kim, Lucas Costa, Pãnos M. Pardalos, & Yiannis Ampatzidis. (2020). Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks.. 8 indexed citations
18.
Costa, Lucas, et al.. (2020). Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence. Precision Agriculture. 22(4). 1107–1119. 19 indexed citations
19.
Costa, Lucas, et al.. (2020). A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms. Computers and Electronics in Agriculture. 172. 105334–105334. 94 indexed citations
20.
Ampatzidis, Yiannis, Victor Partel, & Lucas Costa. (2020). Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence. Computers and Electronics in Agriculture. 174. 105457–105457. 142 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026