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Leasing agricultural lands holds significant importance for sustaining the economic well-being of numerous smallholder farmers worldwide, especially those residing in underdeveloped regions characterized by communal property rights over land holdings. Nevertheless, the lease procedure typically lacks formality, is not documented properly, and separates itself from established agrarian systems. Informal practices lead to job security concerns, limited financial resources like loans and insurances, suboptimal resource allocation for development projects, and increased operational hazards. Although improvements in electronic record-keeping for property deeds and implementation of computerized farming techniques haven’t fully reached lease agreements across all areas. The research introduces an innovative approach aimed at transforming agricultural lease agreements into formalized systems based on clear and comprehensive information sharing. This system includes electronic property documents, advisory tools for making choices about farming practices, digitally signed legal papers, and regulatory frameworks designed to make lease terms clearer, enhance agricultural yield predictions, and encourage tenants’ involvement in economic aid initiatives. Utilizing supplementary information sources such as previous studies and existing reports, the investigation highlights how this reform could enhance various aspects including efficiency, societal well-being, financial stability, and governmental oversight effectiveness. A suggested plan provides an adaptable approach tailored towards environmental preservation in farming areas
Keywords:
Agricultural Land Leasing, Decision Support Systems, Digital Agriculture, Digital Governance, Sustainable Agriculture, Tenant Farmers.
Cite Article:
"From Informal to Intelligent Agriculture: A Digital Transformation Framework for Land Leasing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.b315-b320, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602140.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator