No abstract

Crop diseases, pest infestations, water shortages, weed infestations, and other issues affect the agriculture sector. Due to existing agricultural techniques, these issues result in significant crop loss, economic loss, and severe environmental hazards. Because agriculture is such a dynamic industry, robotics cannot solve all of its difficulties; instead, a single solution to a specific complex problem is supplied. To assist with these issues and provide a better approach globally, a variety of systems have been developed. Plant protection robots are characterized by complexity, constraint, and nonlinearity. In order to improve the accuracy and reliability of plant protection robots in agricultural job path planning, we propose a path planning method for agricultural plant protection robots based on a nonlinear algorithm. The ant colony algorithm was selected to plan the path distance index according to the working environment, and the feasibility of the simulation system was calculated. The results show that the fastest time used by the nonlinear algorithm is 5.3, and the path planning accuracy is up to 97.8%. Compared with the traditional algorithm, the algorithm has higher accuracy, less computing time, and higher computing efficiency.

Traditional medicine has a lot to give towards the world’s health, especially now that limits to conventional pharmacology has occurred. New scientific methodologies may spark a rebirth in global health research and development if rich and developing countries pooled their research capacities with inequitable collaborations. The Cassytha Filiformis has many medicinal uses. It is a parasite plant that has been used for medicinal purposes and other ornamental purposes in many parts of the world, and has found employment in Siddha, European, Ayurveda and Chinese folk medicine. In this review, the ethnobotany, phytochemistry and pharmacological benefits of Cassytha filiformis are discussed.

Stevia is a small perennial shrub belonging to the Astraceae family with approximately 240 species, which has been used as a natural sweetener. In addition to its sweetening property, it has medicinal values and other uses. Indigenous tribes of South America were using Stevia rebaudiana Bertoni for centuries for its medicinal value. Leaves of stevia produce diterpene glycosides (Stevioside and Rebaudiosides), non-nutritive, non-toxic, high-potency sweeteners. The traditional medicinal system is getting more and more appreciation nowadays, but the therapeutic targets for most of these medicines remain unclear, which slows down the novel drug discovery from these natural products. Computational molecular docking studies are effective tools, which are broadly utilized to identify therapeutic targets and interpret molecular aspects of the ligand-protein interactions during drug discovery. Thus, it also enables the extraordinary structural diversity of natural products to be harnessed in an effective manner. The aim of this article is to present a review on the molecular docking studies and pharmacological activities of steviol glycoside isolated from Stevia rebaudiana. In this article, the recently published papers about Stevia rebaudiana were reviewed, using scientific sites such as Mendeley, PubMed and Google Scholar.