1Forman Christian College, A Chartered University Lahore
*Corresponding Email: muhammadirfan@fccollege.edu.pk
Citations: Irfan M, 2024. Role of artificial intelligence in the production of cotton for sustainable agriculture. Scientific Records 1(1): 33-51. https://doi.org/10.47278/journal.sr/2025.005
DOI: https://doi.org/10.47278/journal.sr/2025.005
Abstract: Cotton is a natural fiber, which takes up 2.5 percent of all agricultural land. Due to a variety of climate factors, cotton crops are susceptible to bacterial, fungal, viral, and other parasite illnesses that lower crop output. The cultivation of cotton is essential to world agriculture. For instance, the rapid increase in population is closely correlated with a larger demand for cotton. The. Farmers must degrade the soil by applying more toxic pesticides because their traditional ways aren't enough to meet the growing demand. The access use of pesticides negative effect on agricultural practices which causes the land to remain barren and have no fertility. One potential way to solve these issues in response is to incorporate Artificial Intelligence (AI) technologies into agricultural methods. The review demonstrates several ways that AI is being used in the agricultural value chain. The literature in this review elaborates on the use of AI in pest identification through the use of drone sensors, irrigation, precision farming, disease and pesticide management, irrigation system, crop monitoring, and wet management. These technologies retain soil fertility, cut lower the overuse of water and pesticides and herbicides, boost productivity, raise quality, and labor efficiency. AI technique has protected farmed yields from hazards such as rising temperatures, population growth, unemployment, and food insecurity. The utilizing artificial intelligence (AI) technology executed in drones. The review also explores the advantages AI adoption has for the environment, such as less water use, lower chemical inputs, and improved biodiversity conservation. The study goes on to discuss hurdles and limitations related to the application of AI, including issues with data privacy and technical difficulties. In conclusion, this review underscores the transformative potential of AI in revolutionizing agricultural practices towards greater sustainability. However, to increase its production, Artificial Intelligence might face several obstacles, including inappropriate soil preparation, pest infestation and diseases, huge data demands, low output, and insufficient farmer knowledge of the technology is cost-effective.