Implementation of Artificial Intelligence, Machine Learning, and Internet of Things (IoT) in revolutionizing Agriculture: A review on recent trends and challenges
Journal Title: International Journal of Experimental Research and Review - Year 2023, Vol 30, Issue 1
Abstract
Artificial Intelligence (AI) can revolutionize agriculture which impacts a country’s economy, employing more than 30% of the world’s population directly or indirectly. It can fulfill the needs of an ever-growing world’s population through automation. Traditional farmland practices like weeding, pesticide spraying, irrigation, monitoring soil nutritional and moisture status, etc. can be performed quicker using robots, sensors, drones, and algorithms. It reduces water wastage and pesticide overuse, maintains soil fertility, helps in reducing labor and enhances crop yield and productivity despite world problems. However, its penetration into agriculture is still in its infancy due to its uneconomical nature, lack of expertise and big data requirement for accuracy among others. This paper delves deeper into the various applications and impacts of AI in agriculture, new tools being used, challenges and future scope related to this field. Combined with Artificial Neural Network (ANN) models and Machine Learning (ML), along with Expert systems (ES) and Internet of Things (IoT), AI can do wonders in agriculture in the subsequent years to come.
Authors and Affiliations
Nabarun Dawn, Tania Ghosh, Souptik Ghosh, Aloke Saha, Pronoy Mukherjee, Subhajit Sarkar, Sagnik Guha, Tanmay sanyal
Keywords
Related Articles
- EP ID EP715442
- DOI https://doi.org/10.52756/ijerr.2023.v30.018
- Views 58
- Downloads 0
A Proactive Approach to Fault Tolerance Using Predictive Machine Learning Models in Distributed Systems
In the era of cloud computing and large-scale distributed systems, ensuring uninterrupted service and operational reliability is crucial. Conventional fault tolerance techniques usually take a reactive approach, addressi...
Effect of deformation and sensitization on corrosion behavior of 304 LN and 316 LN Austenitic stainless steel
The present work was concerned with the effect of sensitization and deformation on the corrosion behavior of 304LN and 316LN austenitic stainless steel before and after hot rolling. Specimens were subjected to mechanical...
Improvement of Flow Properties of Highly Waxy Crude Oil with the application of SiO2 and Graphene Oxide nanoparticles aided by Light Crude Oil
The rheological behaviour of crude oil mixtures comprising both heavy and light components along with chemical additives is of significant interest due to its relevance in the petroleum industry. Understanding the flow p...
Postural Assessment of Indian Masons and Prototype Design of Work Table
Indian Masons are engaged in different construction activities like bricklaying, plastering, and concreting work in prolonged standing, sitting, trunk flexion posture at lumbar, squatting, and truck twisting posture to p...
Examining the Pandemic Induced Adoption of E-Learning Through a UTAUT Model Approach
The Covid-19 pandemic's worldwide disruption has significantly impacted many facets of society, including education and learning. This seismic effect results from the urgent need to stop the virus from spreading, which c...