Purpose <p>This scholarly investigation delves into the transformative ramifications of cutting-edge technologies within the agricultural domain. It accentuates the pivotal function these technologies fulfill in rectifying the deficiencies inherent in conventional farming practices while promoting sustainable agricultural methodologies. The research stresses the imperative urgency for novel frameworks aimed at mitigating environmental degradation and enhancing agricultural productivity.</p> Methods <p>An interdisciplinary methodology is employed, examining the integration and synergistic advantages of advanced agricultural techniques, nano-agriculture, artificial intelligence (AI), and big data analytics. The study meticulously analyzes how these technologies, in conjunction with instruments such as the Internet of Things (IoT) and intelligent farming systems, optimize resource utilization, diminish environmental repercussions, and enhance operational efficiencies.</p> Results <p>The inquiry uncovers substantial improvements in sustainability attributable to the adoption of smart agricultural technologies, which alleviate soil degradation, avert water contamination, and curtail greenhouse gas emissions. Advancements in AI and big data facilitate predictive analytics and refine decision-making frameworks. Simultaneously, nano-agriculture augments the precision of nutrient application and pest control, resulting in heightened productivity and superior resource management.</p> Conclusion <p>The integration of innovative technologies is imperative for the evolution of sustainable and efficient agricultural systems. This investigation elucidates that these technologies are vital in confronting the dual challenges of sustaining a burgeoning global populace while addressing climate change, thus fostering the long-term preservation of ecosystems and natural resources.</p>

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Investigation of Emerging Technologies in Agriculture: An In-depth Look at Smart Farming, Nano-agriculture, AI, and Big Data

  • Christopher Selvam D,
  • Yuvarajan Devarajan

摘要

Purpose

This scholarly investigation delves into the transformative ramifications of cutting-edge technologies within the agricultural domain. It accentuates the pivotal function these technologies fulfill in rectifying the deficiencies inherent in conventional farming practices while promoting sustainable agricultural methodologies. The research stresses the imperative urgency for novel frameworks aimed at mitigating environmental degradation and enhancing agricultural productivity.

Methods

An interdisciplinary methodology is employed, examining the integration and synergistic advantages of advanced agricultural techniques, nano-agriculture, artificial intelligence (AI), and big data analytics. The study meticulously analyzes how these technologies, in conjunction with instruments such as the Internet of Things (IoT) and intelligent farming systems, optimize resource utilization, diminish environmental repercussions, and enhance operational efficiencies.

Results

The inquiry uncovers substantial improvements in sustainability attributable to the adoption of smart agricultural technologies, which alleviate soil degradation, avert water contamination, and curtail greenhouse gas emissions. Advancements in AI and big data facilitate predictive analytics and refine decision-making frameworks. Simultaneously, nano-agriculture augments the precision of nutrient application and pest control, resulting in heightened productivity and superior resource management.

Conclusion

The integration of innovative technologies is imperative for the evolution of sustainable and efficient agricultural systems. This investigation elucidates that these technologies are vital in confronting the dual challenges of sustaining a burgeoning global populace while addressing climate change, thus fostering the long-term preservation of ecosystems and natural resources.