In today’s world, cotton is the most vital non-food agrarian commodity. During its growth, it is prone to various kinds of pests and bacteria which causes many diseases. And to save the cotton crop from bacteria and pests, various harmful chemicals in the form of pesticides are used. Over the years, due to the extensive use of pesticides, their interaction with the biological system in the environment has caused many problems. After analyzing the harmful effects of pesticides, it is essential to remove these harmful chemicals from the environment to plant the other seasonal crops. To accommodate this constraint, this paper proposes a method to efficiently use pesticides on the cotton crop which is affected by Xanthomonas malvacearum and how to biodegrade the pesticides from the soil where it was grown. To rectify this instance, we use a methodology named density-based clustering for finding the areas of the cotton plant that were affected by Xanthomonas malvacearum. On the other hand, the same algorithm is used to identify the areas in the soil that were highly affected by pesticides. By identifying the affected areas in the field, the methods such as biostimulations, bioventing, bioaugmentation, and other related techniques can be applied to degrade the levels of pesticides. It can be incurred from experimental results that the density-based method outperforms in identifying the pesticide-affected areas which will help the farmers to make the crop production effectively.
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This study was funded by Science and Engineering Research Board (SERB) (Grant No. ECR/2017/001273), Department of Science and Technology (DST), Govt. of India.
Conflict of interest
The authors declare that they have no conflict of interest.
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Priya, R., Ramesh, D. & Khosla, E. Biodegradation of pesticides using density-based clustering on cotton crop affected by Xanthomonas malvacearum. Environ Dev Sustain 22, 1353–1369 (2020). https://doi.org/10.1007/s10668-018-0251-7
- Density-based clustering
- Cotton crop
- Xanthomonas malvacearum