The need for transdisciplinary collaborations to mainstream technological progress in agriculture
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
The study identifies the need for transdisciplinary collaborations to mainstream technological progress in agriculture. The study highlights the challenges of technological and economic barriers in the adoption of digital technologies in agriculture.
Evidence profile
Sourced from the stated challenges and stated research gap of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 2 journals. Those papers have been cited 73 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Smart Agriculture and Technological Innovation: A Bibliometric Perspective on Digital Transformation and Sustainability (2025) · Agriculture · cited 21× · doi
The study identifies the need for transdisciplinary collaborations to mainstream technological progress in agriculture. The study highlights the challenges of technological and economic barriers in the adoption of digital technologies in agriculture. The study mentions the challenge of reducing post-harvest losses and improving food quality and safety through the application of precise harvesting and processing processes.
generalstated challengesKeywords: study identifies need transdisciplinary collaborations mainstream technological progress - Research Progress and Applications of Artificial Intelligence in Agricultural Equipment (2025) · Agriculture · cited 51× · doi
There is a need to improve the operational efficiency, resource utilization, and environmental adaptability of agricultural equipment. Traditional agricultural equipment faces challenges regarding data sample acquisition, adaptation to complex field environments, and the coordination between algorithms and hardware. The paper identifies the gap in the transition from manual and mechanized operations to intelligent, sustainable, and labor-efficient agriculture.
generalstated research gapKeywords: there need improve operational efficiency resource utilization environmental - Mapping the Evolution of Artificial Intelligence in Agriculture: A Large-Scale BERTopic Analysis of Smart Farming, Automation, and Precision Systems (2020–2025) (2026) · AgriEngineering · cited 1× · doi
The paper identifies the challenge of improving the efficiency and sustainability of agricultural systems in the face of climate variability, limited resources, and increasing food production demands. The research also highlights the challenge of developing innovative solutions to address important agricultural challenges, such as crop management, yield prediction, and resource allocation. Additionally, the paper notes the challenge of providing farmers with affordable digital access and strengthening technical capacity.
generalstated challengesKeywords: paper identifies challenge improving efficiency sustainability agricultural systems
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