Year: 2025 | Month: June | Volume 12 | Issue 1
Financial Impact Modelling of AI-Driven Crop Disease Mitigation
Ujan Pradhan
Vyomika Anand
DOI:10.30954/2348-7437.1.2025.2
Abstract:
Adoption of the use of artificial intelligence (AI) in agricultural disease control has proven to be efficient
in terms of technical improvement but economic justification has proved to be a foundation pillar in
implementation strategies. This is a review article, which summarizes the existing approaches to measuring
the financial changes brought about by AI-based crop disease detection and mitigation systems. The
authors focus on the schemes of yield losses estimation, methods to value economic types of returns, and
modelling, methods of return on investment (ROI) evaluation in varying agricultural application situations.
By systematically reviewing the current body of such literature and case studies, this review confirms in
part that AI- based early disease detection can yield losses of 15-40% of the end yield dependent on type
of crop and time of intervention with the same investment returning on investment in the range of 150,
400% on a 3-year deployment period. But even there, there are major discrepancies in methodology in
the area of impact assessment, especially in setting up of baseline, modelling attribution and long-term
measures of sustainability. The current paper suggests the system of integrating the disease incidence
modelling with the market-responsive economic valuation with the incorporation of AI model performance
measures and the measures of the regional variability.
Print This Article Email This Article to Your Friend
