We can improve the system later by adding more features
Research gap analysis derived from 3 agriculture papers in our local library.
The gap
We can improve the system later by adding more features to the dataset. With the support of remote sensing technologies and IoT devices, real-time monitoring can be made possible.
Evidence profile
Sourced from the discussion and future-work section and abstract 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
- Smart Agriculture: Leveraging Machine Learning for Crop Recommendation, Fertilizer Optimization, and Yield Prediction (2026) · International Journal of Intelligent Systems and Applications · doi
To improve reliability, future work will focus on integrating real-time sensor data, satellite imagery, and geo-spatial mapping to enhance feature richness. To address this, future work will focus on enhancing the feature set by integrating real-time weather data, soil sensor inputs, and farmer-specific historical preferences.
generaldiscussionevidence 5/5Keywords: future focus integrating real time sensor feature improve reliability satellite imagery spatial mapping enhance richness - Optimizing Crop Recommendations using Machine Learning: A Comparative Study for Enhanced Yield Prediction (2026) · Journal of Automation Mobile Robotics & Intelligent Systems · doi
We can improve the system later by adding more features to the dataset. With the support of remote sensing technologies and IoT devices, real-time monitoring can be made possible.
generalfuture-work sectionevidence 5/5Keywords: improve system later adding features dataset support remote - Deep Learning-Based Multilingual Smart Farming System for Crop Recommendation and Nutrient Monitoring (2026) · AFRICAN JOURNAL OF APPLIED RESEARCH · doi
Research Limitation: The major limitation of the adopted methodology is that the system is evaluated using available soil images and tabular weather–nutrient datasets, rather than through large-scale, real-time field deployment.
generalabstractevidence 4/5Keywords: limitation major adopted methodology system evaluated using available soil images tabular weather nutrient datasets rather
Questions about this gap
Explore this gap further
Run this gap as a query across open scholarly engines for the latest related literature.
Working on this gap? Review it with us.
Science AI Journal reviews manuscripts in one pass with 8 specialised AI agents calibrated on 69,000+ real peer reviews.
Tools for your next paper
Related gaps in Agriculture
- The lack of effective integrated weed managementThe lack of effective integrated weed management strategies for wheat cultivation. The need to identify practical alternatives to labor-inte…
- The genetics and molecular mechanisms of stress toleranceThe genetics and molecular mechanisms of stress tolerance in crops are not fully understood. There is a need to identify elite salt-tolerant…
- Limited information is available on soil nutrientLimited information is available on soil nutrient availability and the factors governing their variation in temperate forest ecosystems of t…
- Arbuscular mycorrhizal (AM) inoculation and organicArbuscular mycorrhizal (AM) inoculation and organic amendments may make a potential contribution to phytoremediation of these toxic metals, …