Moranne Toniato-Silva

Effective sustainable fish farming necessitates enhanced models that incorporate environmental variability and contemporary monitoring methods. This research presents an innovative framework for assessing and modeling the environmental carrying capacity based on phosphorus (ECCp) in tropical and neotropical lakes and reservoirs. The model evaluates phosphorus waste from tilapia farming (Oreochromis niloticus) under diverse climatic conditions and production scenarios in cage systems. Using bioenergetic modeling and Monte Carlo simulations, we estimated phosphorus retention in fish and maximum production limits across different temperatures (21 °C, 25 °C, 29 °C) and dietary phosphorus concentrations (0.8%, 1.2%, 2.1%) in Brazil’s Chavantes reservoir. Results indicated that phosphorus retention diminished with higher dietary phosphorus and increased temperatures, ranging from 51% (0.8% P) to 20% (2.1% P). Phosphorus discharge ranged from 3.3 to 20.5 kg/ton of fish produced. The ECCp model forecasted an allowable production of roughly 40 tons per year at full operational capacity, reflecting a 41% increase compared to current regulations. The model’s accuracy (96%) surpassed that of traditional regulatory frameworks, which rely on static parameters, emphasizing the shortcomings of existing practices. The findings promote enhanced modeling strategies, sophisticated monitoring, adaptive management, and revised public policies to mitigate phosphorus emissions and support sustainable aquaculture in tropical and neotropical regions.

Objective: The objective of this study is to investigate the impact of technological innovations, especially the Internet of Things (IoT), on the optimization of agricultural production and the sustainability of Brazilian agribusiness, focusing on AgTechs and the challenges they face. Theoretical Framework: The study analyzes the current context of agribusiness in Brazil, identifying its main characteristics and trends. It examines Agriculture 4.0 and the implementation of innovations, focusing on the potential of IoT in agricultural production with practical examples and benefits. It also characterizes Brazilian AgTechs, exploring growth opportunities and the broad challenges they encounter. Method: Utilizing a qualitative, exploratory approach based on a narrative literature review, relevant articles, theses, and reports from the last 10 years on the use of IoT and technological innovation in Brazilian agribusiness were analyzed. Results and Discussion: The results indicate that IoT offers significant benefits at all stages of production; however, AgTechs face social, technological, economic, and regulatory obstacles, highlighting the need for public policies and funding for large-scale technological adoption. Research Implications: The research suggests that public policies aimed at improving rural infrastructure and encouraging technological adoption are essential, especially for small producers. Originality/Value: This study contributes by exploring the impact of IoT on Brazilian agribusiness, highlighting the role of AgTechs in Agriculture 4.0. The originality lies in the analysis of the challenges faced by startups and the practical application of these innovations. The value of the research is in promoting technological adoption, improving productivity, and sustainability in the agricultural sector.