Artificial intelligence in agriculture, applications, benefits and challenges: A review
Author(s):
Tanveer Ahmad Ahngar, FA Bahar, Lal Singh, MA Bhat, Purshotam Singh, SS Mahdi, Tauseef A Bhat, Zahida Rashid, Bilal Ahmad Lone, Waseem Raja, AA Saad and Latief Ahmad
Abstract:
Agriculture is the foundation of long-term economic growth and is necessary for structural transformation, though, may vary by countries. However, from sowing to harvest, it encounters numerous challenges. Insufficient chemical application, Pest and disease infestation, incorrect drainage and irrigation, weed management, yield forecast etc. are the key concerns. As a result, agricultural modernization is critical to addressing these. A range of solutions have been presented to handle current agricultural concerns, ranging from database building to selection help frameworks. In terms of accuracy and robustness, artificial intelligence-based architectures have been shown to be the best performers. Use of artificial intelligence systems will enhance crop yields while reducing the water use, pesticides and fertilizers. Artificial intelligence technology can facilitate to diminish the impact on natural ecosystems while also boosting worker safety, which will assist in keeping food prices low and ensuring increased food production with the growing population.
How to cite this article:
Tanveer Ahmad Ahngar, FA Bahar, Lal Singh, MA Bhat, Purshotam Singh, SS Mahdi, Tauseef A Bhat, Zahida Rashid, Bilal Ahmad Lone, Waseem Raja, AA Saad and Latief Ahmad. Artificial intelligence in agriculture, applications, benefits and challenges: A review. The Pharma Innovation Journal. 2022; 11(3S): 1407-1414.