CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Agrícola (FEAGRI) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I am an agronomist from the Federal University of São Carlos with a master's and doctorate in Plant Science from ESALQ/USP. I am an associate professor at the School of Agricultural Engineering at UNICAMP and an expert in Precision Agriculture. My main research interests include remote and proximal sensing of soil and plants, geostatistics, soil sampling, digital soil mapping, variable-rate applications, and management zones. I supervise doctoral, master's, and scientific initiation students. I am accredited as a permanent professor in the Graduate Program in Agricultural Engineering at FEAGRI/UNICAMP. I work as the Interdisciplinary Group on Technology in Precision Agriculture (GITAP) coordinator. I am the Scientific Director of the Brazilian Association of Precision Agriculture (AsBraAP). I periodically offer distance learning courses on precision agriculture and geostatistics. I have an active professional profile on Instagram (@lucasamaral.unicamp) and LinkedIn. (Source: Lattes Curriculum)
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The collaboration aims to explore synergies between teams with experiences in a wide range of soil sensing techniques, both proximal and remote devices. The focus of this first year of collaboration will be on evaluating attributes related to soil chemical fertility, using chemical quality indices for the spatial distribution of individual attributes and their combined use to create soil …
Agricultural fields are not uniform in their extension, and, therefore, the adoption of precision agriculture (PA) is mandatory to obtain greater efficiency and sustainability of agricultural production. To make this approach viable, sensing techniques to support the mapping of soil properties are essential. The mapping of soil chemical fertility from systematic sampling for variable-rate…
Site-specific management of agricultural fields, which is the main precision agriculture precept, is essential to optimize sugarcane crop exploitation. Field spatial variability characterization is performed mostly based on manual and laborious sampling procedures hindering precision agriculture adoption. Thus, several technologies have been developed to assist on such variability identif…
The use of sensors for mapping the spatial variability of agricultural lands is already consolidated through various sensors in precision agriculture, however, the complementarity/redundancy of these is little studied. Therefore, this work aims to verify whether different soil sensing techniques are complementary, studied both from an unsupervised perspective (only the sensors) and superv…
The management of crops based on the delineation of management zones (MZ) is considered one of the main objectives of precision agriculture (PA) because it reduces the need for costly periodic investigations, which often rely on manual sampling and laboratory analyses. This approach would make area management much more efficient and sustainable. However, the delimitation of soil mapping u…
Soil is an essential system for life and agriculture; however, it faces degradation issues due to intensive agricultural practices. Precision agriculture seeks to optimize resource management by collecting data on various variables, including soil properties. Nevertheless, spatiotemporal variability poses challenges for precise and efficient decision-making, requiring high-density samplin…
Soil is a complex matrix, which makes it unlikely that a single sensor measurement represents its variability. However, such spatial characterization is vital to direct several research and applications in PA. Most studies with proximal soil sensing test techniques individually or perform comparisons between equipment. However, for a holistic interpretation of field variability, measuring…
Sampling planning comprises one of the most critical steps for characterizing the spatial behavior of soil properties. However, the continuous management of agricultural areas influences the pattern of soil chemical, physical and biological attributes, which makes mapping difficult through sampling. The use of covariates is a possibility to assist with both sample planning and predictions…
Maps used by precision agriculture to prescribe local application are based on sample grid and interpolation. Interpolation by kriging presents some difficulties related to its usage since it's a complex method and considers several parameters for calculation (i.e. anisotropy, trend, nugget effect, partial sill, range) and when they are not used it causes loss of quality in the analyses, …
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The demand for alternative sources of energy is globally growing , propitiating an intense expansion to the Brazilian sugarcane sector that demands technologies to maximize the sugarcane production and its economical return. Precision agriculture appears as an important tool, offering among others, sensors that work with crops reflectance allowing for variable rate nitrogen fertilizatio…
| 2 / 2 | Ongoing grants |
| 2 / 2 | Completed research grants |
| 3 / 3 | Ongoing scholarships in Brazil |
| 9 / 9 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 17 / 17 | All research grants and scholarships |
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