Agro-climatic regionalization and optimal irrigation scheduling for the state of Andhra Pradesh, India

Abstract EN

Objective: One of the most useful methods for identifying land capabilities to be reserved for the best and most productive forms of productivity is agro-climatic regionalization or zoning (ACZ).

The ACZ framework divides the world into zones based on topography, soil, land use, and climate.

Methods: This paper presents an ACZ of Andhra Pradesh (AP) using a classification algorithm IHW-DNN.

The classification algorithm classifies the agro-climatic zones of AP into seven zones based on some characteristics of the three regions of AP.

Initially, the input data is collected from the openly available sites to perform classification.

The features, such as physiography, soil characteristics, geological information, and length of the growing period, climatic types, potential evapo-transpiration, and cropping patterns are extracted for the regions of the AP.

Results: The AP is classified into seven agro-climatic regions based on the features.

Then the irrigation scheduling of the classified zones is presented using an optimization algorithm, namely beetle swarm algorithm that uses a novel fitness value for giving an optimal set of irrigation schedules for the crops in the zones of AP.

Conclusion: Experiments are carried out to determine the efficacy of the proposed methods, and the results indicate that the proposed methods are effective.