• Dr. Shiva Sharma
• Ayush Madan
• Priyank Bharti

Cotton cultivation is well-known for utilizing a lot of plant protection chemicals. Because of the difficulty in developing a suite of beneficial organisms capable of responding effectively to the system's diversity of pests, the crop's annual nature, as well as the interrupting impacts of chemical control measures aimed directly against the surviving pests, physiological control by introduction and acclimation of beneficial arthropods has not been particularly successful in cotton production. Only inundate biological control has shown significant benefits, and only when chemical pesticide pressure has been reduced. This study looks at how and why crop protection concepts have changed dramatically since the invention of synthetic pesticides. With the advent of synthetic pesticides, crop protection ideas have altered significantly, according to this study. Because of the effectiveness of genetically modified cotton, chemical control treatments have been reduced, showing the beneficial role that natural enemies may play. This necessitates a shift from a field-by-field strategy to a farm-by-farm and agro ecosystem approach to a landscape-by-landscape approach to a holistic approach to sustainable pest management. This research will assist in the advancement of cotton farming in order to offer higher earnings and environmental methods to pest control.

Cotton, Farm, Management, Pest Control, Pesticides, Production.

"Traditional and Derived Cotton Crops Using Biotechnology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.281-285, August-2018, Available :http://www.jetir.org/papers/JETIRFF06049.pdf

"Traditional and Derived Cotton Crops Using Biotechnology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp281-285, August-2018, Available at : http://www.jetir.org/papers/JETIRFF06049.pdf