Data-Driven decision making in agriculture and business: The role of advanced analytics

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1565 - 1575

Опубликована: Июль 7, 2024

Advanced analytics has revolutionized decision-making processes in agriculture and business by harnessing data-driven insights to optimize operations, manage risks, drive innovation. This paper explores the transformative role of advanced these sectors, highlighting key benefits, challenges, future directions. In agriculture, enables precision farming integrating AI, IoT sensors, satellite imagery. Predictive models forecast crop yields, irrigation, enhance soil management practices, improving productivity sustainability. Similarly, supports strategic analyzing consumer behavior, predicting market trends, optimizing supply chain operations. However, adopting faces challenges such as data quality, technical expertise, cost constraints, ethical considerations. Addressing requires investments infrastructure, talent development, regulatory compliance ensure secure usage. Emerging trends include AI-driven automation, blockchain for transparency, augmented democratizing access. Recommendations stakeholders investing capabilities, fostering collaborative partnerships, promoting a culture decision making. conclusion, offers profound opportunities efficiency, inform making, sustainable growth business. Embracing technologies is essential organizations seeking thrive economy. Keywords: Analytics, Precision Farming, Data-driven Decision Making, Business Intelligence.

Язык: Английский

---

Product strategy development and financial modeling in AI and Agritech Start-ups

Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(7), С. 1178 - 1190

Опубликована: Июль 7, 2024

This paper explores the intricate dynamics of product strategy development and financial modeling within burgeoning fields AI agritech start-ups. It begins by delineating stages development—from idea generation market research to launch scaling—emphasizing customer-centricity, innovation, collaborative partnerships as pivotal drivers success. Financial techniques, ranging from basic revenue cost structures advanced scenario analysis risk mitigation, are examined for their role in guiding strategic decision-making ensuring sustainability. In sector, rapid advancements machine learning data analytics reshaping industries through intelligent automation predictive insights. Agritech, meanwhile, leverages technology optimize agricultural processes, enhance productivity, promote sustainable practices amid global challenges. Both sectors share synergies integrating technologies innovate offerings performance, albeit facing distinct challenges such regulatory compliance adoption. Practical examples illustrate how start-ups apply these insights refine strategies models, enhancing competitiveness scalability. The implications practice underscore importance adapting dynamics, leveraging technological innovations, fostering collaborations drive growth innovation. Keywords: AI, Product Strategy Development, Modeling, Start-Ups

Язык: Английский

---

Dynamic financial modeling and feasibility studies for affordable housing policies: A conceptual synthesis

International Journal of Advanced Economics, Год журнала: 2024, Номер 6(7), С. 288 - 305

Опубликована: Июль 24, 2024

The escalating demand for affordable housing necessitates innovative approaches to financial modeling and feasibility analysis ensure the success sustainability of policies. This abstract presents a conceptual synthesis dynamic studies, exploring their pivotal role in shaping effective Dynamic involves creating flexible adaptive models that account varying economic conditions, policy changes, market fluctuations. These are essential predicting outcomes, assessing viability projects, guiding investment decisions. By incorporating real-time data scenario analysis, help stakeholders understand potential risks opportunities, enabling more informed decision-making. Key components include cash flow sensitivity testing, planning, which together provide comprehensive view project's over time. Feasibility studies complement by evaluating practical aspects such as site selection, regulatory compliance, demand. assess alignment projects with community needs requirements, ensuring proposed developments both feasible beneficial. often cost estimates, risk assessments, providing detailed understanding project constraints opportunities. offers robust framework It allows integration projections considerations, policies not only economically viable but also aligned social objectives. Case from various regions demonstrate effectiveness this approach identifying successful strategies addressing common challenges. In conclusion, crucial tools developing implementing They dimensions, facilitating decision-making enhancing impact initiatives. underscores importance integrating these methodologies achieve long-term affordability Keywords: Policies, Affordable Housing, Studies, Financial Modeling, Synthesis.

Язык: Английский

---

Advances in machine learning-driven pore pressure prediction in complex geological settings

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1648 - 1665

Опубликована: Июль 25, 2024

Advances in machine learning (ML) have revolutionized pore pressure prediction complex geological settings, addressing critical challenges oil and gas exploration production. Traditionally, predicting accurately heterogeneous anisotropic formations has been fraught with uncertainties due to the limitations of conventional geophysical petrophysical methods. Recent developments ML techniques offer enhanced precision reliability estimation, leveraging vast datasets sophisticated algorithms analyze interpret complexities. ML-driven approaches utilize a variety data sources, including well logs, seismic data, drilling parameters, train predictive models that can handle non-linear multi-dimensional nature subsurface conditions. Techniques such as neural networks, support vector machines, ensemble methods shown significant promise capturing intricate relationships between variables pressure. These adaptively learn from new improving their capabilities over time. A notable advantage is its ability integrate disparate types scales, providing holistic understanding regimes. This integration enhances accuracy forecasts, which crucial for wellbore stability, safety, hydrocarbon recovery. For instance, real-time operations be fed into dynamically update estimates, allowing immediate adjustments plans reducing risk blowouts or other hazards. Moreover, facilitate identification subtle patterns trends might overlooked by traditional capability particularly valuable deep-water environments, tectonically active regions, unconventional reservoirs, where often fall short. Despite promising advances, remain widespread adoption prediction. include need extensive training datasets, interpretability models, workflows existing geoscientific practices. Addressing these requires interdisciplinary collaboration geoscientists, scientists, engineers develop robust, user-friendly solutions. In summary, represents advancement managing complexities geology. By enhancing reliability, technologies are poised improve efficiency, productivity industry, challenging settings. Keywords: Advance, ML, Pore Pressure, Prediction, Geological Settings.

Язык: Английский

---

Advances in rock physics for pore pressure prediction: A comprehensive review and future directions

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(7), С. 2304 - 2322

Опубликована: Июль 24, 2024

Advances in rock physics have significantly enhanced pore pressure prediction, a critical aspect of subsurface exploration and drilling operations. This comprehensive review delves into the latest developments methodologies, integrating empirical, theoretical, computational approaches to predict more accurately. Traditional prediction methods often rely on well log data seismic attributes, but recent advancements introduced innovative techniques that leverage physical properties rocks provide reliable predictions. Key advances include development improved models better account for complexities environments, such as heterogeneity anisotropy. These integrate from various sources, including logs, core samples, surveys, create understanding subsurface. Additionally, application machine learning artificial intelligence has opened new avenues analyzing large datasets, identifying patterns, refining predictive models. also examines role laboratory experiments field studies validating calibrating High-pressure high-temperature provided valuable insights behavior under different conditions, which are essential accurate prediction. Field studies, other hand, offer real-world help fine-tuning methodologies. Future directions integration advanced geophysical techniques, full-waveform inversion distributed acoustic sensing, higher resolution detailed imaging. The use cloud computing high-performance platforms is expected enhance processing analysis making efficient scalable. concludes by highlighting importance interdisciplinary collaboration advancing By combining expertise geophysics, petrophysics, geomechanics, science, can continue innovate improve accuracy reliability predictions, ultimately enhancing production efficiency oil gas industry. Keywords: Advances, Rock Physics, Pore Pressure, Prediction, Directions.

Язык: Английский

---

Enhancing Precision Farming Innovations for Global Food Security Through Agricultural Extension Services

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 119 - 142

Опубликована: Апрель 4, 2025

Precision farming depends on agricultural extension because it provides farmers with the knowledge, skills, and support they need to adopt successfully use precision agriculture technologies. By offering guidance practical aspects of agriculture, services assist in overcoming technical challenges optimizing their technology. Additionally, facilitate farmers' access technologies, such as software, tools, which could otherwise be unaffordable individual farmers. Agricultural can help overcome barriers adopting boost productivity efficiency, sustainable development by carrying out these duties. technology is essential for assuring effective ethical food production this era global security. As develops, its incorporation into methods holds potential transform sector satisfying expanding needs a dynamic community..

Язык: Английский

---

Strategic negotiation and contract management: Best practices for high-stakes projects

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(7), С. 1310 - 1320

Опубликована: Июль 7, 2024

Effective strategic negotiation and contract management are essential for the success of high-stakes projects, which involve significant investments, complex stakeholder dynamics, substantial risks. This paper explores best practices in these areas, emphasizing integration management, digital tools use, collaboration's importance, commitment to continuous improvement. Integrating processes ensures coherence adaptability while leveraging technology enhances efficiency transparency. Fostering a collaborative environment harnesses diverse expertise, leading innovative solutions. Continuous improvement through feedback loops training helps organizations learn from past projects stay ahead future challenges. The findings highlight critical role strategies mitigating risks, managing changes, achieving project objectives. Practitioners encouraged adopt enhance outcomes build sustainable projects. Keywords: Strategic Negotiation, Contract Management, High-Stakes Projects, Collaboration

Язык: Английский

---

Managing cross-border disputes in telecommunications: A case study approach

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(8), С. 2708 - 2730

Опубликована: Авг. 21, 2024

Managing cross-border disputes in telecommunications is a complex challenge that involves navigating diverse legal frameworks, regulatory environments, and cultural contexts. This paper provides an overview of the case study approach used to explore effective strategies for managing such disputes, focusing on key insights practical solutions. The examines series studies involving sector, highlighting unique challenges intricacies resolving conflicts span multiple jurisdictions. These often arise from issues as disagreements, contractual breaches, differing interpretations international agreements. selected provide comprehensive view various types encountered approaches employed address them. One primary importance clear well-defined dispute resolution mechanism Effective mechanisms include provisions arbitration, mediation, or other alternative (ADR) methods are mutually agreed upon by parties involved. highlights how these can facilitate more efficient amicable resolutions compared traditional litigation. research also emphasizes role alignment cooperation between national bodies. Disputes be mitigated through harmonized regulations collaborative efforts among regulators issues. reveal jurisdictions with well-established cooperative frameworks better equipped handle effectively. Additionally, explores impact communication differences resolution. Successful management requires sensitivity implementation bridge gaps. includes employing local experts understanding regional practices influence outcomes. In conclusion, valuable into telecommunications. findings underscore need mechanisms, cooperation, awareness. elements essential complexities achieving sector.. Keywords: Managing, Cross-Boarder Dispute, Telecommunications, Case Study, Approach.

Язык: Английский

---

Theoretical advancements in operational petrophysics for enhanced reservoir surveillance

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2576 - 2588

Опубликована: Авг. 22, 2024

Operational petrophysics has significantly evolved through theoretical advancements, enhancing the accuracy and efficiency of reservoir surveillance. This review paper explores foundational concepts petrophysics, including key parameters such as porosity, permeability, fluid saturation, examines models advancements that have shaped modern practices. It highlights impact innovative tools technologies, digital rock physics, advanced well logging, real-time monitoring systems, on improving data resolution. The also discusses emerging trends, integration artificial intelligence machine learning, addresses challenges limitations facing field, high costs quality issues. Recommendations for future research are provided to address these enhance field's capabilities. By summarizing ongoing challenges, this underscores significance progress in optimizing management ensuring efficient hydrocarbon recovery. Keywords: Petrophysics, Reservoir Surveillance, Digital Rock Physics, Real-time Monitoring, Machine Learning, Data Accuracy.

Язык: Английский

---

Novel petrophysical considerations and strategies for carbon capture, utilization, and storage (CCUS)

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(8), С. 2548 - 2561

Опубликована: Авг. 22, 2024

Carbon Capture, Utilization, and Storage (CCUS) is a critical technology for mitigating climate change by capturing CO? emissions from industrial sources storing them in geological formations. This paper explores novel petrophysical considerations strategies enhancing CCUS implementation. These advanced techniques are inputs into the five pillars that govern successful execution of projects. They are: capacity, Containment risk analysis (CRA), Injectivity, Monitoring, Measurement & Verification (MMV) Stake holder management. use logging such as high-resolution imaging, digital rock physics, nuclear magnetic resonance (NMR), to provide detailed insights reservoir properties, facilitating more accurate estimation storage capacity Injectivity. The integration machine learning artificial intelligence enhances data interpretation, optimizing site selection, containment monitoring processes. challenges opportunities unconventional reservoirs, including tight formations shale also addressed. Effective involve thorough selection characterization, injection techniques, comprehensive assessment mitigation, supportive economic policy frameworks. Emerging technologies interdisciplinary collaboration essential long-term sustainability success Future research needs include understanding behavior various settings, developing cost-effective capture technologies, improving public perception social acceptance. underscores importance an integrated approach CCUS, leveraging technological advancements collaborative efforts combat change. Keywords: (CCUS), Petrophysical Techniques, (MMV), Risk Assessment.

Язык: Английский

---