Kolar ISFET extended Dataset (2020-25)

Description

It is a high-density and multi-parameter research dataset specifically engineered to simulate the performance of Active Gate-Biased ISFET Arrays in the unique soil conditions of Kolar, Karnataka. It bridges the gap between agricultural environmental data and solid-state device physics, allowing for a comprehensive evaluation of sensor reliability in "dirty" matrices. Key Characteristics of the Dataset * Temporal Scope: 200,005 observations spanning six years (2020–2025), capturing long-term sensor drift, seasonal moisture fluctuations, and temperature variations. * Regional Context: Specifically models Kolar’s Red Laterite (Alfisols), incorporating high concentrations of Iron/Aluminum oxides and varying salinity levels that typically cause sensor failure. * Experimental Modes: Features a dual-mode log—Passive (standard floating gate) vs. Active_Biased (your novelty)—providing the "control group" necessary to prove performance enhancement.

Institutions

• Christ University

  Karnataka, Bengaluru

Categories

Licence