Proceedings
Authors
| Filter results3 paper(s) found. |
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1. Detection of Weed-Related Anomalies in Sugarcane Fields Using Sentinel-2 ImageryWeed infestation is one of the main causes of yield losses in agricultural systems, particularly in large-scale crops such as sugarcane. Conventional weed management, based on uniform herbicide application, often ignores the spatial variability of infestations, resulting in higher production costs and environmental impacts. In this context, remote sensing and machine learning techniques are recently being used as a solution for automation and precision in crop monitoring. In this study,... R.P. Amaro, F. Amstalden, C. Berro filho, D.G. Duft |
2. Non-destructive Detection of Herbicide Damage in Curly Lettuce Using Spectral Data and Machine Learning AlgorithmsCurly lettuce (Lactuca sativa var. crispa) is a prominent horticultural crop due to its high demand for both production and human consumption. It plays a vital role in creating healthier, more balanced diets. However, the application of phytosanitary products, such as herbicides, whether applied by air or land, can lead to chemical drift into adjacent areas, negatively impacting sensitive crops. This drift can cause phytotoxicity and, in severe cases, result in total crop loss, depending on factors... F. Morlin carneiro, T. Vidigal maciel, G. Albuquerque araujo, H. De oliveira cavalheiro, B. Matwijou, M.A. Da silva, A. Lopes de brito filho, M.G. Da silva brochado, J.D. Rodrigues oliveira |
3. SOLOS E PLANTAS - Updates in the Analytics Market - Brazil vs China... R. Alves filho |