Agriculture 5.0: AI-Enabled Smart Farming with Advanced Monitoring and Pest Management
Year: 2026
Type: article
Abstract: Agriculture 5.0 is a paradigm shift whereby modern technologies (robotics, artificial intelligence (AI), and the Internet of Things (IoT) are utilised to improve productivity, sustainability, and resiliency in various agricultural domains. This is an integrated solution that not only focuses on traditional crop production but also on horticulture, livestock, fisheries, and agroforestry systems, which allows management of a farm in an integrated manner. Integration of intelligent sensors, autonomous machines, and data-oriented decision support provides the possibility to monitor the state of soil, water, and weather in real-time, which will result in increased efficiency of resource utilisation. Also, AI-based imaging and machine learning algorithms make it possible to detect insect pests and plant diseases early and precisely to support precision-based interventions and mitigate the need to use chemical inputs. Climate-smart practices also include minimising environmental effects and protecting biodiversity, as well as improving adaptive capacity to climate variability, which are also promoted by Agriculture 5.0. The integration of digital technologies and connected platforms will guarantee the availability of data integration and predictive analytics, as well as informed decision-making on farm and regional levels. In addition, automation and robotics minimise labour reliance and enhance efficient and consistent operations in farms. Agriculture 5.0 can bring transformations in the current farming sector despite the hurdles associated with it, including the cost of initial investment, complications of data management, and the use of technical expertise. It is also bringing about the possibilities of sustainable, efficient, and resilient agricultural systems by combining technological innovation with ecological principles that will address the food security challenges of the world.
Authors: Nilotpal Das, Argha Mandal, Meghna Sarkar
Institutions: Uttaranchal University, Assam Agricultural University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7143871366