Volume 20 No 10 (2022)
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Utilisation of Deep Learning to Exploit Locust Outbreaks in Agricultural Harvesting
N.Krishnamoorthy , Dr.R.Suresh , D.Mohanapriya , Dr.Arpana Prasad ,Dr.R..Krishnamoorthy , Dr.R.Thiagarajan
Abstract
An infestation of locusts presents a serious threat to world biodiversity and productivity expansion. Those locusts swarm on such a routine basis in arid and semi-arid countries including Africa, West Asia, and a tiny portion of South Asia. Pesticides are being used to inhibit locust eggs from emerging and swarming, which is a major problem. In Gujarat, India, locust outbreaks infested a considerable number of agricultural regions in 2019. The locust is primarily a threat to different vegetation regions (i.e., Schistocerca Gregaria). Agricultural government entities can provide information about the environment including such soil moisture, soil conditions, and the broad concentration of agro regions.The locust's position is determined using a deep learning technique that determines the precise data about the locust's breeding zone.To commence a locust plague prevention strategy, the productive uses of comparison is calculated using these approaches using deep learning techniques. Deep learning algorithm technique has been developed to lessen the hazard over agricultural regions by providing an efficient way of high forecasting in hazardous zones at a minimal cost.
Keywords
Locusts, Pesticides, Schistocerca Gregaria, Deep Learning algorithm, Hazardous Zones
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