The need for a deep learning-based multilingual smart

The gap

Evidence profile

Stated in the future work and recommendations and cells research gap and cells future research sections of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• Evolving pest management paradigms through information and communication technologies (2026) · Plant Science Today · doi

  Addressing the constraints of ICT-based pest management calls for a comprehensive and vision-oriented approach. Rural digital infrastructure investment is essential, particularly in enhancing Internet connectivity and electricity supply. Access to ICT tools must be provided on an equal basis. Developing user-friendly applications in local languages, with voice-based interfaces and intuitive designs, will further enhance accessibility for elderly and low-literacy communities. Advances in AI and machine learning should be supported by the development of large, high-quality, open-source pest image datasets that represent diverse crops and agroecological regions. This will raise the accuracy of computerised pest identification systems in various farming systems. Sensor calibration and farmers training are key to addressing data quality challenges in pest monitoring. Additionally, predictive modelling systems must be continuously refined to incorporate evolving pest dynamics and climate variability. Stronger collaboration among ICT developers, extension agencies, research institutions and private-sector partners is essential for overcoming current limitations. Integrated digital platforms that consolidate pest advisories from multiple sources can https://plantsciencetoday.online reduce contradictory recommendations and promote consistent, science-based guidance. Ensuring the timely dissemination of ICT innovations to farmers will further support the adoption of sustainable, ICT-enabled pest management practices.

  generalstated in future workevidence 5/5
  Keywords: pest based systems addressing management digital essential must further quality farmers constraints calls comprehensive vision
• Evolving pest management paradigms through information and communication technologies (2026) · Plant Science Today · doi

  for pest diagnosis and management. Representative Android-based mobile applications used for pest management in various countries are presented in Table 6 (83-92). Mobile applications integrated with AI-based chatbots and cloud computing platforms are emerging as highly effective ICT tools for pest management advisories. They enable the real-time collection, integration and analysis of available data. AI chatbots provide interactive, personalised recommendations, while cloud platforms support large-scale data processing and continuous Table 5. Some of the important SMS and voice call providers for agriculture/pest related inforation in india S.No.

  generalstated in recommendationsevidence 5/5
  Keywords: pest management based mobile applications chatbots cloud platforms diagnosis representative android used various countries presented
• Deep Learning-Based Multilingual Smart Farming System for Crop Recommendation and Nutrient Monitoring (2026) · AFRICAN JOURNAL OF APPLIED RESEARCH · doi

  The need for a deep learning-based multilingual smart farming system for crop recommendation and nutrient monitoring in Maharashtra. - The lack of integration of soil image analysis, weather and nutrient feature analysis, and crop recommendation into a unified decision-support system.

  generalstated in cells research gapevidence 5/5
  Keywords: need deep learning-based multilingual smart farming system crop
• Smart Greenhouse Automation Research as a Multidimensional Field: A Comparative Bibliometric Analysis of WoS and Scopus Literature (2026) · Turkish Journal of Agriculture - Food Science and Technology · doi

  Future research should focus on examining the impact of IoT-based monitoring systems, machine learning applications, and data-driven automation approaches on agricultural productivity. - Further studies should investigate the potential applications of smart greenhouse automation in different regions and contexts.

  generalstated in cells future researchevidence 5/5
  Keywords: future research focus examining impact iot-based monitoring systems

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