Abstract
Cotton is an essential commercial crop. Unfortunately, this crop is affected by many pests and diseases, which can cause considerable loss in yield. Climate has a strong correlation with the occurrence of pests and diseases in crops. Currently, weather forecasting services are available to the farmers, which help with weather-based planning of farm operations. Still, weather-based pest and disease forewarning services are not available to all the farmers. Unfortunately, cotton cultivation consumes about one-third of total pesticide consumption, which increases the cost of production apart from polluting the environment. An information and communication technology (ICT) based intelligent pest and disease forewarning system for cotton is an innovative system for providing forewarning on pests and diseases. It aims at improving farm productivity through better crop management. In this paper, the proposed method aims to predict the occurrence of pests and diseases based on microclimatic parameters. This pest and disease forewarning information and appropriate crop management practices will be disseminated to the farmers using electronic media through short message service (SMS), the Internet, etc. In this way, both livelihood security and environmental security are achieved. The proposed model shows a higher optimal performance then the two related works in terms of the average root mean square error rate, average accuracy rate, average percentage error rate, and prediction accuracy.
Highlights
Agriculture is primarily dependent on the weather
The above results found that ARIMA (1, 0, 2) is the appropriate model to predict pest and Weoccurrences created an intelligent pestmicroclimatic and disease forewarning to manage results the pestmade and disease of disease based on the information.system
This paper presented an intelligent pest and disease online prediction system for cotton crops based on microclimatic parameters
Summary
Often a strong correlation exists between climate and the occurrence of pests and diseases in the crop. To find out what this correlation is, the continuous monitoring of pests and disease incidence at regular intervals is essential. If this correlation is known, forewarning on the incidence of pests and diseases with anticipated weather considers can be done [1]. We are considering the pest and diseases of cotton crops. Pests and diseases cause vast losses, and these losses are aggravated by unfavorable soil and climatic conditions. The economic loss in a cotton yield ranges from 5% to 15% due to pests and diseases [2]. Farmers rely on the heavy use of insecticides to control these pests, but this can cause pesticide residue problems
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