A REVIEW ON BIODIVERSITY OF SOME MEDICINAL AND WILD PLANTS AND THEIR POSSIBLE ROLE IN VECTOR- BORNE DISEASES AND VECTOR CONTROL | PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY

Plants have been extensively studied in the search for alternatives to traditional insecticides. During the last decade, their toxic actions against insects have attracted particular attention. Mosquitoes are nuisance pests and a major vector for the spread of many diseases that are life-threatening. These days, mosquito and vector-borne diseases such as Malaria, Chikungunya, Dengue and many more are becoming a major public health concern because they have a social and economic impact in subtropical and tropical countries in particular. Basically, the current prevalence of these diseases is due to the growing resistance of mosquitoes to existing insecticides. Plant-derived products have been used to repel or destroy mosquitoes and other domestic insect pests in many parts of the world. Since they are rich in bioactive chemicals, are active against a small range of organisms, including particular target insects or parasites, and are biodegradable, plants can be a source of alternative insect and parasite control agents. Whereas, rather than the intended pathogen carrier, synthetic drugs and insecticides also cause extensive toxicity and adverse side effects to the end consumer. Upon completion of the literature survey, therefore, it was concluded that the use of environmentally friendly and biodegradable natural insecticides of plant origin has received renewed attention as insect control agents and plant products are a good source of medicinal aspects and also of insecticides that are important for the elimination of vector and vector diseases.

The present analysis focuses primarily on the potential for anti-plasmodial or insecticidal properties of certain widely grown plants. If their products are properly developed, these plants can be a good alternative for many vector-borne diseases. This paper addresses the multi-source information fusion approach primarily and offers an algorithm for multi-source information fusion based on a fuzzy partial order relationship. The trick to achieving information fusion is to make all the elements comparable. First, to get the good or bad order of the subjects being assessed and the most important details, we will convert the existing fuzzy partial order into complete order, in addition to obtaining a new framework. Second, we're getting knowledge fusion algorithms. Finally, using an example, we test the feasibility and efficiency of the algorithms.

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