Digital Transformation in Agriculture

Agriculture is central to sustainable development. It has diverse implications across effective food and industrial supply chains and water management. With the adverse impacts of climate change and the ever-increasing demand for agricultural output, leveraging technologies like IoT, AI/ML, mobility, and cloud for improving agricultural throughput is imperative. Smart agriculture manifests in terms of irrigation optimization, soil condition monitoring, yield estimation, livestock monitoring, and pest detection. With ultra-low power, often battery-less, sensing devices, device layer technologies have also evolved to feed diverse sensor data inputs across the farm into the device to cloud data pipeline.

Reading Time: 3 minutes
Read the article   [responsivevoice_button buttontext='Hear the article' voice='US English Female']


Nirupam Kulkarni

Nirupam Kulkarni works as Product Manager focused on eInfochips' IoT and AI product and solution portfolio. He has 11 years of technology experience across IT and analytics consulting, market research, product management and digital partnerships.

akun slot gacor akun jp daftar slot online QQLINE88 3mbola catur777