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| Filter results13 paper(s) found. |
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1. An AI-Ready Smart Adapter Architecture for Integrating Heterogeneous Agricultural IoT Systems Across the Edge–Cloud ContinuumThe increasing adoption of Internet of Things (IoT) technologies in smart agriculture has resulted in highly heterogeneous environments composed of diverse sensors, communication protocols, and distributed computing layers. Agricultural systems typically operate across the edge–cloud continuum, encompassing field devices, intermediate processing nodes, and cloud-based platforms. While IoT platforms provide essential services for data ingestion and device management, they often face limi... D. Silva, A. Heideker, R. Bianchi, C. Kamienski |
2. Autonomous Edge Computing Station for Precision Soil and Climate Monitoring in Remote and Low-Connectivity EnvironmentsThe expansion of Precision Agriculture (PA) into remote rural areas, particularly in developing countries like Brazil, is frequently hindered by severe infrastructure constraints. Large-scale adoption of digital tools faces the dual challenge of limited 4G/5G connectivity at the field level (the "talhão") and the high costs associated with conventional electrification and industrial-grade equipment. These barriers disproportionately affect small and medium-sized farmers, crea... M. Andrade, R. Toledo |
3. Scalable Offline Infrastructure for Agriculture 4.0: A Linux-Gateway Architecture for Edge Connectivity and Data SovereigntyBrazilian agribusiness has consolidated itself as an economic pillar, representing approximately 25% of the national GDP. However, the full rise of Agriculture 4.0 - characterized by the integration of IoT, Artificial Intelligence, and smart sensors -faces a scenario of profound technological inequality. Recent data indicate a disparate adoption of digital tools: while large-scale farms possess the financial capacity for complex infrastructures, small and medium-sized producers face connectiv... M. Andrade, C. Soares de souza |
4. Development of a Label-free Electrochemical Biosensor for Detection of Infectious Hepatitis a VirusOne of the leading causes of foodborne viral illnesses in the world is Hepatitis A Virus, which is frequently involved in causing outbreaks linked to contaminated produce and shellfish (e.g., green onions and berries) due to contamination during cultivation, processing, or handling. HAV is highly stable in environment capable of remaining infectious on food matrices and in water for extended periods. Humans get infected primarily via the fecal-oral ro... D. Kaur, R.P. Ramasamy, M. Esseili |
5. A Decentralized Digital Twin Architecture for Interoperable Digital Agriculture SystemsThe increasing digitalization of agriculture has driven the widespread adoption of heterogeneous sensing systems, autonomous platforms, and data-driven decision-support tools. Despite these advances, interoperability limitations at both the syntactic and semantic levels remain a major challenge, hindering the scalable integration and coordinated operation of agricultural assets. Current agricultural systems are often developed as vertical, vendor-specific solutions, resulting in fragment... P.H. Morgan pereira, G. Costa piazza, K. Usman, L. Santos comelli da silveira, V. Cella ceriotti, Y. De souza pazin, E. Pignaton de freitas |
6. Development of a LoRaWAN Network for Remote Sensing in Precision AgricultureThe modernization of agriculture through Agriculture 4.0 requires the use of advanced sensors and wireless communication networks for the precise monitoring of environmental variables and process optimization. However, the implementation of these Internet of Things (IoT) technologies in rural areas frequently faces the challenge of limited infrastructure over large territorial expanses. In this scenario, Low-Power Wide-Area Networks (LPWAN), specifically the LoRaWAN protocol, stand out for th... M. Hermes, M. Albuquerque, A. Andreoli, C. , C. Chaves |
7. Satellite-IoT Integration for Digital Agriculture: Advances and ChallengesAgriculture is an essential pillar of global food security, demanding continuous digital integration from seed selection and planting to post-harvest logistics and crop distribution. In this scenario, seamless communication is the primary enabler for data-driven decision-making, ensuring that critical information regarding environmental variables, soil moisture, and direct plant health indicators reaches processing platforms fast enough for agile operational responses. However, the expansion ... M. Feldman, O.R. Da cruz, N.K. Wagner, C. Glier, I. Müller |
8. Application for Pixel-level Segmentation and Quantification of Lignified Fibers (Sclerenchyma) and Parenchyma in Microscopic Images of Sugarcane CulmsQuantifying lignified tissues in sugarcane culms (Saccharum spp.) is essential for anatomical characterizations and for inferences related to biomass quality and the potential uses of plant material. Conventional methods may require specific laboratory procedures and manual steps in digital analysis, increasing processing time and reliance on skilled operators. In this context, computer vision techniques applied to microscopic images constitute an accessible and reproducible alternat... G.F. rubio, J.F. Rubio, L.E. Pereira, J.R. Marques, A.R. Tech, M.F. Logli |
9. Evaluation of Variable-Rate Application of Growth Regulator in CottonThe application of plant growth regulators in cotton is widely used to control excessive vegetative growth and improve plant architecture. However, the spatial variability present in agricultural fields may reduce the efficiency of conventional fixed-rate application, making variable-rate application (VRA) a promising alternative. The objective of this study was to evaluate the effect of fixed-rate and variable-rate application of the growth regulator mepiquat chloride on plant height, leaf a... B. Costalonga vargas, M.R. Furtado junior, G.O. Paula, A.L. Coelho, M.C. Moreira, F.R. Carvalho |
10. An Open-Source, Universal Arduino Library for LoRaWAN Integration with Low-Cost, Long-Range Agricultural Sensor NetworksThe Data-Gator is a low-cost, open-source sensor platform built on the ESP32 microcontroller. It supports I2C, analog, and Bluetooth Low Energy (BLE) sensor interfaces and can be configured without writing any code. It has been tested at a vineyard and an organic orchard, where it collects readings from a number of sensors at regular intervals. While the platform performs well in these settings, it currently relies on WiFi to send data back from the field. This l... K. Wing, D. Onyeoguzoro, M. Everett, J.C. Shovic |
11. Use of Profitability Maps in Precision Agriculture As a Strategic Tool for Decision-makingBrazilian agribusiness plays a significant role in the national economy, accounting for approximately 27% of the Gross Domestic Product, while operating in an environment characterized by substantial exposure to climatic, operational, and market risks. In commodity-based production systems, where farmers act as price takers, economic efficiency fundamentally depends on effective cost and revenue management, as well as the proper allocation of productive resources. In this context, this study ... W. Nart macedo, L. Gebler |
12. Economic and Ecological Performance and Farm-level Adoption of Market-available Tools for Variable-rate Nitrogen Management in a Region of Small-to-medium-scale AgricultureThe proposed contribution combines the results of extensive multi-year field trials on variable rate-nitrogen fertilization (VRN) of winter wheat with the results of a series of farmer surveys, and findings drawn from a government investment subsidy program. All three data sources (field trials, surveys, investment subsidy program) cover roughly the same period and agricultural area. The field trials were conducted from 2023 to 2025, the surveys in 2020, 2022, and 2025, and data on the invest... M. Gandorfer, B. Vinzent, J. Pfrombeck, J. Garnitz, F. Maidl |
13. Farm-level Economic Viability Site-specific Weed Management (SSWM)Background: Site-specific weed management (SSWM) is promoted as a strategy to reduce herbicide inputs without compromising crop yield. Despite rapid advances in offline and online AI-based weed mapping, the farm-level economic viability of SSWM under real-world weed patchiness and imperfect detection remains uncertain. Methods: A grid-based (1x1m, 50x50cm and 25x25cm) economic decision model for SSWM was developed and evaluated using 31 empirical weed... M. Gandorfer, J. Pfrombeck, V. Pitsyk, D. Pannell |