Shaping the Deep Tech Revolution in Agriculture 2025

Satellite-enabled remote sensing facilitates the collection of spatial and spectral data at regular intervals across geographical areas.19 This allows large-scale monitoring at relatively affordable costs. In agriculture, data collected through satellite-enabled remote sensing can be used to monitor crop health, detect nutrient or water stress and forecast pest and disease outbreaks without requiring field visits. When paired with machine learning, it can be used for prescriptive and predictive insights for precise farm management. It can also be employed for developing affordable monitoring, reporting and verification tools for agriculture.3.4 Satellite-enabled remote sensing At Mahindra Agribusiness, we recognize that improving water use efficiency is central to securing the future of farming. Deep- tech innovations through IoT-enabled irrigation, AI-based water analytics or satellite monitoring can support farmers with precise insights that optimize every drop. These solutions can not only improve productivity and reduce input costs but also safeguard groundwater and strengthen resilience against climate change. We believe deep tech in water management is key to sustainable agriculture and rural prosperity. Ramesh Ramachandran, Chief Executive Officer, Agribusiness, Mahindra Group Shaping the Deep-Tech Revolution in Agriculture 16