The need for reliable, policy-coherent information
Research gap analysis derived from 3 engineering papers in our local library.
The gap
The need for reliable, policy-coherent information and effective action in smart farming systems, - The lack of adaptable indicators and a system of perception-analysis-implementation in smart farming systems, - The limited development of A
Evidence profile
Sourced from the future-work section and stated research gap of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- A Comprehensive Review on IoT-Based Smart Agriculture Systems (2026) · IJARCCE · doi
The integration of artificial intelligence and IoT technology in agriculture is a potential future research direction. The use of predictive analytics and machine learning techniques in agriculture is another future research direction. The development of more efficient and sustainable agricultural practices is a future research direction.
generalfuture-work sectionevidence 5/5Keywords: integration artificial intelligence iot technology agriculture potential future - Evolution of smart farming for the European Green Deal: A review of IoT, artificial intelligence and robotics in sustainable precision agriculture (2026) · Progress in Agricultural Engineering Sciences · doi
The need for reliable, policy-coherent information and effective action in smart farming systems, - The lack of adaptable indicators and a system of perception-analysis-implementation in smart farming systems, - The limited development of AI-based decision support tools, autonomous weed control, and digital twin field validation
generalstated research gapevidence 5/5Keywords: need reliable policy-coherent information effective action smart farming - Tendencias en agricultura y silvicultura de precisión: un análisis bibliométrico de la integración de datos, el apoyo a la toma de decisiones y la sostenibilidad (2026) · Arandu UTIC · doi
The study suggests that future research should focus on the development of decision support systems in precision agriculture and silviculture. The research highlights the importance of integrating data and predictive models to optimize resource use and reduce environmental pressures. The study suggests that digital agriculture and sustainable viticulture are emerging areas of research that require further investigation.
generalfuture-work sectionevidence 5/5Keywords: study suggests future research focus development decision support
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