Work

Augmented Reality‐/Virtual Reality‐Assisted Deep Reinforcement Learning‐Based Model toward Management of Soil Microbes on Organic Farms

Year: 2026

Type: book-chapter

Abstract: The potential implementation of sustainable agriculture under climatic shocks necessitates adopting a holistic organic farming approach, in which the practice of organic soil amendments with technological advancements further reassures the sustainability and food security despite environmental challenges. In the context of climate-smart agriculture, optimal organic farming strategies are achieved by promoting a thriving ecosystem of soil microbes, for which the artificial intelligence manages microbial activity and dependent factors. Ecotoxicological risks due to urbanization are a major threat to soil microbes and affect soil health, impacting crop yield. In this chapter, a deep reinforcement learning-based model with the assistance of augmented reality/virtual reality is discussed to manage soil microbes in organic farming, which effectively assesses ecotoxicological risks in the soil and provides the best practice of climate-smart agriculture to achieve sustainability.

Source: Climate smart agriculture.

DOI: 10.1002/9781394336364.ch5

Authors: G. Amuthavalli, U. Palani, G. Vallathan, Prasanth Aruchamy

Institutions: Pondicherry University, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Life on land

Open Access status: gold

Estimated APC paid: $1,900