Application of Artificial Intelligence on Traditional Rice Varieties Recognition

By : R. D. Vijaya Lakshmi , Velusamy Karthikeyan , Madheswaran Madhavan , Sathiyapriya Kamatchi , Aparna Mahadevan , Muthu Rakku Senthil Kumar , Akash Krishnamoorthi

Page No: 193-210

Abstract:
The major scenario of varietal detection using machine learning, deep learning, feature extraction, and image recognition is gaining more value nowadays. The limitations of identifying of Paddy varieties by observing seed morphology is a challenging task. Our present study demonstrates the above said limitation by exploring artificial intelligence on Traditional Paddy land races recognition. This study deals with feature extraction (colour and morphological features) and the identification of ten types of traditional paddy varieties through deep learning methods. The sample image was collected through a high-resolution mobile device, segmented, and resized for image preprocessing study. Sample sizes are increased through image augmentation techniques. Extracted and presented the color and morphological features of paddy varieties. For transfer learning approach, the pre-trained model ResNet50 was employed to identify the paddy variety. By training the paddy images, we obtained the results of the model testing accuracy is 99.05 per cent, which is highly reliable. Finally, the loss percentage and the confusion matrix of Paddy varieties with our fitted model are discussed. The traditional paddy varieties have a longer duration of growth morphogenesis (up to 180 days). The image resolution deep learning artificial intelligence paved an accurate approach on paddy varietal or landraces genus and species level detection within a short period of time.

Authors:
R.D. Vijaya Lakshmi: Research Scholar, PG and Research Department of Botany, Thiagarajar College, Madurai, Tamil Nadu, 
Velusamy Karthikeyan: Assistant Professor, PG and Research Department of Botany, Thiagarajar College, Madurai, Tamil Nadu,
Madheswaran Madhavan: Assistant Professor, PG and Research Department of Mathematics, Thiagarajar College, Madurai, Tamil Nadu, 
Sathiyapriya Kamatchi: Research Scholar, PG and Research Department of Botany, Thiagarajar College, Madurai, Tamil Nadu, 
Aparna Mahadevan: Research Scholar, PG and Research Department of Botany, Thiagarajar College, Madurai, Tamil Nadu, 
Muthu Rakku Senthil Kumar:Research Scholar, PG and Research Department of Botany, Thiagarajar College, Madurai, Tamil Nadu,
Akash Krishnamoorthi: Graduate Student, Department of Plant Biology and Biotechnology, Loyola College, Chennai, Tamil Nadu,
 

DOI: https://doi.org/10.32381/JPSR.2025.41.02.1