Digitization in Indian Agriculture: Evolution from Simple to Smart Farming


Sujoita Purohit
Santanu Purohit


Objectives: The objective of the review is to identify the gap in digitization in agriculture sector based on the available research, practices of Indian context. Methods: The review is conducted on the published research articles, government policies and published experts articles in last 5 years in order to capture the latest updates on each field and parameter. Review has been conducted on the technology adaptation in agriculture sector nationally and internationally and comparison is drawn accordingly for conclusion. Findings: Technology implementation geared towards enhancement of agricultural processes. Penetration of technology such as remote sensors, AI, Big data are very high in western countries. However, usage of technology in agriculture in India continues to be a marginal level. At the same time the sector is having its own constraints related to understanding the complexity of technology, knowledge level of farmers, landholding etc. Technology adaptation still remains fairly nascent, especially in Indian scenario and yet to see significant traction. There is scope for further studies on usage of specific technologies which can address the existing constraints to help the sector for maximize yielding. Novelty/ Recommendations: IoTs are the technology which are being used for making society future ready. Usage of IoTs are all across the industries from manufacturing to logistics to service industries. Agriculture sector is also going to have huge impact with the introduction of IoTs. Hence, the analysis of gap in adaptation shall be helpful for the academician’s, farmers, agriculture industry for further review, study and implementation.