![]() ![]() Tomato is the world’s second most consumed vegetable after potato. It can be grown in a wide range of climates from tropical to temperate it also can be cultivated under cover conditions when outdoor temperatures are not favorable. Tomato ( Solanum lycopersicum Linnaeus), native to the Andean region of South America, is one of the most common horticultural crops and cultivated throughout the world. This paper will review the current understanding of causal agents of EB of tomato, resistance genetics and breeding, problems associated with breeding and future prospects. More research is needed to identify additional sources of useful resistance, to incorporate resistant QTLs into breeding lines through marker-assisted selection (MAS) and to develop resistant cultivars with desirable horticultural traits including high yielding potential and early maturity. Pyramiding of those QTLs would provide strong resistance. pimpinellifolium, but none of them could be used in EB resistance breeding due to low individual QTL effects. Several quantitative trait loci (QTL) conferring EB resistance have been detected in the populations derived from different wild species including Solanum habrochaites, Solanum arcanum and S. Polygenic inheritance of EB resistance, insufficient resistance in cultivated species and the association of EB resistance with undesirable horticultural traits have thwarted the effective breeding of EB resistance in tomato. Resistance sources have been identified in wild species of tomato some breeding lines and cultivars with moderate resistance have been developed through conventional breeding methods. ![]() Currently, cultural practices and fungicide applications are employed for the management of EB due to the lack of strong resistant cultivars. Alternaria are known only to reproduce asexually, but a highly-virulent isolate has the potential to overcome existing resistance genes. In some instances, annual economic yield losses due to EB have been estimated at 79%. The results may assist in selecting the best algorithm for future applications.Early blight (EB) is one of the dreadful diseases of tomato caused by several species of Alternaria including Alternaria linariae (which includes A. Performance of the proposed model against decision tree and KNN algorithms and Potential for the early detection of late blight disease in tomato plants. The proposed hybrid algorithm of SVM and HOG has significant Need to more efficiently utilize natural resources, and the demand for higherĬrop yields. ![]() Importance of smart farming, the need for climate-smart agriculture, the rising Work on the early detection of tomato diseases contributes to the growing Industry, making it more efficient, sustainable, and profitable. The integration ofĪdvanced technology in agriculture has the potential to revolutionize the Precision, and recall as compared to Decision Tree and KNN. ToĬheck the performance of the proposed model in terms of MSE, accuracy, HOG-based SVM model for early detection of late blight tomato leaf disease. (HOG) for real-time detection of late blight tomato disease. This work improve the dataset with an increase in imagesįrom the field (the Plant Village dataset) and proposed a hybrid algorithmĬomposed of support vector machines (SVM) and histogram-oriented gradients Research propose a novel smart technique for early detection of late blightĭiseases in tomatoes. Important and useful role in the agricultural production of any country. Ishaq and 1 other authors Download PDF Abstract: The tomato is one of the most important fruits on earth. Download a PDF of the paper titled Early Detection of Late Blight Tomato Disease using Histogram Oriented Gradient based Support Vector Machine, by M. ![]()
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