Detection of Diseases in Blackgram (Vigna mungo L.) Using Machine Learning Models: A Case Study

Black gram (Vigna mungo L.) is widely used in Indian cuisine and one of the most significant pulses cultivated in India. Identification of plant diseases at their earlier stages is essential to take necessary plant protection measures to reduce yield loss to the farmers. Anthracnose and Powdery Mildew are the major diseases in black gram which causes significant yield losses to the farmers. In this research study, advanced disease detection machine learning models such as Multinomial Logistic Regression, Random Forest Classifier were employed to assist the farmers in detection of plant leaf diseases in blackgram at their early stages of growth. For this present study, Image data sets were collected from Thanjavur block, Thanjavur district, Tamil Nadu. Results of the study showed that accuracy of Random Forest Classifier was higher with train accuracy 99.17% and test accuracy 97.00% when compared to the other machine learning methods for detection of plant leaf diseases in black gram, which aids in promotion of smart agriculture

Salient Findings on Host Range, Resistance Screening, and Molecular Studies on Sterility Mosaic Disease of Pigeonpea Induced by Pigeonpea sterility mosaic viruses (PPSMV-I and PPSMV-II)

Two distinct emaraviruses, Pigeonpea sterility mosaic virus-I (PPSMV-I) and Pigeonpea sterility mosaic virus-II (PPSMV-II) were found to be associated with sterility mosaic disease (SMD) of pigeonpea [Cajanus cajan (L.) Millsp.]. The host range of both these viruses and their vector are narrow, confined to Nicotiana benthamiana identified through mechanical transmission, and to Phaseolus vulgaris cvs. Top Crop, Kintoki, and Bountiful (F: Fabaceae) through mite transmission. A weed host Chrozophora rottleri (F: Euphorbiaceae) was also infected and tested positive for both the viruses in RT-PCR. Among the wild Cajanus species tested, Cajanus platycarpus accessions 15661, 15668, and 15671, and Cajanus scarabaeoides accessions 15683, 15686, and 15922 were infected by both the viruses and mite vector suggesting possible sources of SMD inoculum. Though accession 15666 of C. platycarpus, 15696 of C. scarabaeoides, and 15639 of Cajanus lanceolatus were infected by both the viruses, no mite infestation was observed on them. Phylogenetic analysis of nucleotide sequences of RNA-1 and RNA-2 of PPSMV-I and PPSMV-II isolates in southern India revealed significant divergence especially PPSMV-II, which is closely related to the Fig mosaic virus (FMV) than PPSMV-I. In multilocation testing of pigeonpea genotypes for their broad-based resistance to SMD for two consecutive years, genotypes ICPL-16086 and ICPL-16087 showed resistance reaction (<10% incidence) in all three locations studied. Overall, the present study gives a clear idea about the host range of PPSMV-I and PPSMV-II, their molecular relationship, and sources of resistance. This information is critical for the development of reliable diagnostic tools and improved disease management strategies