Agricultural Reviews

  • Chief EditorPradeep K. Sharma

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Agricultural Reviews, volume 43 issue 2 (june 2022) : 205-210

Indigenous Technical Knowledge based Rainfall Prediction: A Review

A. Bheemappa, S.M. Shruthi, K.D. Maheshwari, Nagaratna Biradar
1Department of Agricultural Extension Education, College of Agriculture, University of Agricultural Sciences, Dharwad-580 005, Karnataka, India.
Cite article:- Bheemappa A., Shruthi S.M., Maheshwari K.D., Biradar Nagaratna (2022). Indigenous Technical Knowledge based Rainfall Prediction: A Review. Agricultural Reviews. 43(2): 205-210. doi: 10.18805/ag.R-2347.

Indigenous technical knowledge (ITK) is the actual knowledge of a given population that reflects the experiences based on tradition and includes more recent experiences with modern technologies. Traditionally, farmers have used traditional knowledge to understand weather and climate patterns in order to make decisions about crop and irrigation cycles. This knowledge has been gained through many decades of experience and has been passed on from previous generations. The present study was undertaken with the objective of collection and documenting the indigenous technical knowledge of farmers regarding rainfall prediction based on abiotic and biotic factors which is being practiced generation after generation. Here in this paper an effort has been made to collect the abiotic and biotic factors predicting rainfall, as a part of ICAR sponsored NASF ad-hoc research project entitled “Developing climate resilient adaptive strategies for empowerment of farmers” which has been implemented in University of Agricultural Sciences, Dharwad from 2019 to 2022. Various indigenous technical knowledge are collected by analyzing the journals and newsletters, deep interaction with the farmers of study area, contacting the local resource persons and documenting oral histories without scientific validation. The study found that traditional methods of rainfall forecasting can be utilized for the purpose of short-term and long-term seasonal rainfall predictions by local communities. All available abiotic and biotic indigenous rainfall forecasting techniques may serve as alternative to modern technologies.

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