Proceedings
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| Filter results6 paper(s) found. |
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1. High-Sensitivity Flexible LIG/GO Humidity Sensors for Continuous Environmental Monitoring in Agricultural ApplicationsThe efficiency of agricultural production depends substantially on the continuous monitoring of environmental variables, particularly humidity, which directly influences plant physiological processes, the physicochemical properties of soil, and the preservation of plant materials in the post-harvest stage. This study presents the development of a capacitive humidity sensor based on laser-induced graphene (LIG) and graphene oxide (GO), characterized by its flexibility and adaptability to different... A. La Rosa, P. Silveira, B.B. Gallo, B.V. Lopes, L.M. Goncalves, N. Carreño |
2. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and FruitsCathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals and... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno |
3. Optimization of Electrochemical Device Development: Laser-Induced Graphene Electrode as an Alternative for Agricultural Monitoring.The agroindustrial sector has driven the technological development of electrochemical devices aimed at field applications. In this context, laser-induced graphene (LIG) electrodes stand out for enabling electrode miniaturization, favoring in situ analyses and equipment portability. These devices exhibit high sensitivity, selectivity, rapid response, and low cost, characteristics that expand their application potential in different scenarios. However, the growing demand for these devices highlights... C. Miler, L. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D. Fruchtenicht, P. Silveira, F. , N. Carreño, L. Machado |
4. Smart Resource Use in Precision Agriculture: A Conceptual Framework for Digital Sustainability DevelopmentDigital and precision agriculture are expected to play a central role in shaping future sustainable food production systems by enabling more intelligent, adaptive, and resource-efficient practices. This study adopted a forward-looking literature review, composed of bibliometric and systematic aspects, to propose Smart Resource Use as an emerging paradigm for sustainable development in digitally enabled precision agriculture, extending the concept of smart consumption beyond its traditional origins... B.B. Gallo, L. Visintainer Lerman, R.F. Da Silva, E. Bolfe, M.M. Da Silva, T. Alves, C.E. Pereira, T.M. Porcino |
5. Selection of UAV-based Vegetation Indices for the Prediction of Leaf Chlorophyll Content in Maize Using a Normalized Partial Least Squares Regression (PLSR) Reduction ApproachThe accurate monitoring of the nutritional status is essential for optimizing nitrogen (N) fertilization and maximizing maize grain yield. Variations in N availability directly affect agronomic parameters such as leaf chlorophyll content, which can be estimated using optical sensors. This study assessed the effects of urease inhibitors and nitrogen application rates on leaf chlorophyll content and predicted total leaf chlorophyll content in maize using relevant vegetation indices under field conditions.... B. Nogueira, E. Bender, D. De Carvalho Arruda, M. Da Costa Salem, L. Espindola Muller, S.R. Dos Santos Gonçalves Junior, G. Eissmann Souza, J.V. Muller Klassmann, B.B. Gallo, C. Bredemeier |
6. Hyperspectral Imagery for Prediction of Leaf Chlorophyll Content in Maize Under the Application of Different Urease Inhibitors Using Machine LearningUrea is the most common and widely used nitrogen (N) source. However, it is highly susceptible to ammonia volatilization losses, especially under favorable climatic conditions. The use of urease inhibitors becomes an important strategy because these compounds slow down the hydrolysis of urea, increasing efficiency in terms of N assimilation, enhancing leaf chlorophyll content, promoting plant growth, and maximizing maize grain yield. In parallel, hyperspectral sensors have emerged as a non-destructive... S.R. Gonçalves Junior, M. Da Costa Salem, G. Eissmann Souza, D. Carvalho De Arruda, E. Bender, B. Nogueira, L. Espindola Muller, B.B. Gallo, C. Bredemeier |