Abstract
Mango is considered as the king of fruits. India has the richest collection of mango cultivation and is an important fruit crop having socioeconomical significance. The fruit is admired because of the wide range of compliance, high nutritive value, medicinal values, excellent flavor and richness in variety. This has created high demand for mango in market. But, on the other hand, supply of mango to market is not sufficient, and the reasons could be many more, but plant disease problem stands first among all the problems. If there is no adequate yield of mango for export, there is increase of the price in market, which affects the common man to utilize the benefits of the same. Mango plants suffer from several infectious diseases and disorders including fungal, bacterial and other parasites of the tree as well as fruits. This drastically decreases yield and its quality. The identification of the diseases using conventional methods is time consuming, and there can be over usage of chemicals to overcome the diseases. The technological methods along with conventional methods can be used to identify the diseases efficiently and treat the disease time and cost effectively. This paper gives thorough knowledge to the readers/researchers on different types of mango plant diseases and the procedure followed in conventional and technological domains to identify the plant diseases.
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Koppal, L.B., Rajesh, T.M., Vedamurthy, K.B. (2021). A Novel Model for Disease Identification in Mango Plant Leaves Using Multimodal Conventional and Technological Approach. In: Bhateja, V., Satapathy, S.C., Travieso-González, C.M., Aradhya, V.N.M. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 1407. Springer, Singapore. https://doi.org/10.1007/978-981-16-0171-2_13
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