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Madsen, M
Miler, C
Machado, W.
Colleta de Abreu Moral, P
Mendes, R.C
Canata, T
Carvalho, I.R
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Authors
Maldaner, L
Canata, T
Molin, J
Passalaqua, B
Quirós, J.J
De Oliveira Vieira, I
Luns, S
Mendes, R.C
Bastos, L
Pereira da Silva, R.P
Lima, C.D
Nogueira, B
, A
Junior, D.U
Carvalho, I.R
Bredemeier, C
Colleta de Abreu Moral, P
Gaion, L.A
Gaspareto Filho, C.C
Pascoaloto, I.M
Fernandes, E
, J
de Lemos, T.F
Gonçalves, D.C
Hatum, S.
Sousa Vieira , M
Júnior, D.
Machado, W.
Nunes, A.
Corrêa Dalvi, N.
Polastreli, R.L
Topics
Engineering Technologies and Advances
Weather, Climate Models, and Smart Forecasting for Agriculture
Remote and Proximal Sensing of Soils and Crops
Site-Specific Nutrient, Lime and Seed Management
Precision Crop Protection, Pest, and Plant Health
Type
Poster
Oral
Year
2016
2026
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Filter results5 paper(s) found.

1. Static and Kinematic Tests for Determining Spreaders Effective Width

Spinner box spreaders are intensively used in Brazil for variable rate applications of lime in agriculture. The control of that operation is a challenging issue because of the complexity involved on the interactions between product and machine. Quantification of transverse distribution of solids thrown from the spinner box spreaders involves dynamic conditions tests where the material deposited on trays is evaluated along the pass of the machinery. There is a need of alternative testing methods... L. Maldaner, T. Canata, J. Molin, B. Passalaqua, J.J. Quirós

2. Agroclimatic and Topographic Zoning for the Sustainable Expansion of Peanut Production in the State of Georgia, USA

Sustainable agricultural production depends on a detailed analysis of environmental conditions to support decision-making. This study aimed to develop a topoclimatic zoning for peanut production in Georgia, USA, using climatic data from the PRISM Climate Group and topographic data from OpenTopography. The water deficit was calculated using the Thornthwaite and Mather methodology. The methodology included the reclassification of variables into three suitability classes for cultivation, based on... I. De Oliveira Vieira, S. Luns, R.C. Mendes, L. Bastos, R.P. Silva

3. Analysis of Mixed Models in UAV-based Spectral Vegetation Indices for Prediction of Agronomic Variables in Soybean Subjected to Flooding

The identification of soybean genotypes with increased flooding tolerance is relevant for yield stability in lowlands producing areas. In this context, the use of relevant spectral vegetation indices based on multispectral sensors embedded in unmanned aerial vehicles (UAVs) for the selection of more flooding-tolerant soybean genotypes is a primary demand within plant phenomics. Nonetheless, the environmental effects can change the accuracy of spectral indices and the correct methodology for deduction... C.D. Lima, B. Nogueira, A. , D.U. Junior, I.R. Carvalho, C. Bredemeier

4. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional Systems

Agriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos

5. Detection of Sticky Disease (PMeV) and Papaya Ringspot (PRSV-P) in Papaya Plants (Carica papaya) Using Optical Sensors

The papaya plant (Carica papaya L.) is one of the main tropical fruit crops cultivated in Brazil, with significant economic and social importance, especially in the state of Espírito Santo. Despite its high productive potential, the crop has been severely affected by viral diseases, notably papaya ringspot, caused by Papaya ringspot virus type P (PRSV-P), and sticky disease, associated with the viral complex PMeV and PMeV2. Given this scenario, the present study aimed to evaluate the potential... D.C. Gonçalves, S. . Hatum, M. Sousa Vieira , D. . Júnior, W. . Machado, A. . Nunes, N. . Corrêa Dalvi, R.L. Polastreli