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Title: Enhancing Canadian Blackberries Production in New Brunswick through Climate-Smart Agriculture
Authors: Usman Cheema, Murtajiz Zaidi
Journal: International Journal of Agriculture Innovations and Cutting-Edge (JAI)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Agricultural and Biological Sciences (miscellaneous)
Country: Pakistan
Year: 2024
Volume: 2
Issue: 1
Language: English
Keywords: productionCanadian BlackberriesNew BrunswickClimate-SmartAgriculture
This research paper focuses on the integration of digital technologies in Canadian Triple Crown blackberry production in New Brunswick to enhance productivity and adapt traditional farming practices to changing climate conditions. Drawing insights from recent studies such as "Application of digital technologies for ensuring agricultural productivity" and "Research and Innovation in Agriculture NBER," this paper explores the impact of innovation, research, and policies on agricultural advancements locally and globally. The specific innovative aspect highlighted is the application of artificial intelligence (AI) in precision agriculture to optimize crop management and resource allocation. The research methodology includes a systematic literature review of articles focusing on digital technologies in agriculture, with a particular emphasis on AI applications, tailored to the unique climate challenges faced by Canadian berry producers.
To explore the integration of digital technologies, specifically Artificial Intelligence (AI) in precision agriculture, into Canadian Triple Crown blackberry production in New Brunswick to enhance productivity and adapt traditional farming practices to changing climate conditions.
Systematic literature review of articles focusing on digital technologies in agriculture, with a particular emphasis on AI applications tailored to the unique climate challenges faced by Canadian berry producers. The review process involved searching academic databases (PubMed, Scopus, Google Scholar) using keywords like "AI in agriculture," "precision agriculture," "berry production," and "climate change." Potential supplementary data collection methods mentioned include field surveys, interviews with industry experts, and observation, utilizing instruments like environmental sensors and drones.
graph TD; A[Identify Research Need: Climate Impact on NB Blackberries] --> B[Systematic Literature Review]; B --> C[Search Databases PubMed, Scopus, GS]; C --> D[Filter Articles using Keywords AI, Precision Ag, Berry]; D --> E[Synthesize Insights on AI Applications]; E --> F[Assess Potential Benefits for NB Blackberry Producers]; F --> G[Formulate Conclusions and Recommendations]; G --> H[Final Paper Output];
The paper argues that digital technologies, especially AI, represent a transformative shift necessary for modernizing Canadian berry farming in response to climate variability. AI enables data-driven decision-making, real-time monitoring, and proactive risk management, moving beyond the limitations of traditional practices. The research builds upon existing literature demonstrating AI's potential in enhancing yield and sustainability across various agricultural contexts.
The integration of AI-driven precision agriculture holds significant promise for Canadian blackberry producers in New Brunswick by optimizing crop management, enhancing resource allocation efficiency, and improving overall farm operations. This technological adoption is crucial for mitigating the impacts of climate change, increasing productivity, and ensuring long-term sustainability.
The integration of AI applications into New Brunswick's blackberry production is a strategic imperative for climate change adaptation. By judiciously implementing AI-driven precision agriculture, producers can boost productivity, fortify operations against climate change, and ensure the long-term sustainability and resilience of berry production.
1. Blackberry production accounts for over 50% of the total berry production in New Brunswick (according to Statistical Canada cited in the text).
2. The paper was published in 2024 (Citation: Cheema., U., and Zaidi. Murtijiz, (2024)).
3. The research methodology included a systematic literature review focusing on AI applications in Canadian blackberry production.
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