Utilizing Moisture Sensors for Accurate Measurement of Starch Content in Cassava

Cassava is a critical crop in tropical regions due to its high starch content. Traditional methods of measuring starch content are often laboratory-based, time-consuming, costly, and require specialized equipment and expertise, making them impractical for on-site assessments. This study aims to develop an accurate and efficient method for measuring cassava starch content using a moisture sensor integrated with an Arduino Pro Mini. The proposed device measures moisture content, which inversely correlates with starch levels, providing a rapid and non-destructive estimation of starch content. The prototype was tested on cassava samples from 20 farmers, showing a strong correlation (r=0.985) and R2=0.9711 between sensor readings and actual starch content. The results, compared to the GENIX GX3000 device, demonstrate the prototype's reliability and accuracy in measuring starch content, offering a practical solution for farmers and processing factories.