Technological Advancement in Digital Farming and India's Present Scenario: A Review

Abstract— Technological advancements in agriculture practices for improving the crop overall life cycle is essential requirement for countries like India. In order to compete day to day increasing food demand for growing population and also to strengthen the economy, advancement in agriculture practices has become immensely necessary. In India, same practice use differently because of its highly variable climatic and geographical condition. Agriculture practices in India faces many problems like, small land holding, climate change, agroclimatic variation in different states, uneven rainfall, conventional (old) practices, traditional knowledge and political and economic tantrum unavailability of storage and transport facilities, inspite of this economic losses also occur due to the lack of indispensable information to the farmer.

To overcome these obligatory problems we have to acknowledge technological advancements and digitalization in agricultural practices. Some of the furtherance like Sensing, Geoinformatics, mobile applications and data analytics which will provide us the useful information about moisture percentage, soil health, fertilizer doses requirements, disease and pest management and exact prediction of the crop nutrient demand and also helpful in making appropriate schedule and storage arrangements to decrease the post harvest losses. We can also make marketing strategies according to the data we get and can convert old farming practice into high profitable enterprise. To make this review paper possible we went through vast literature, data, websites, journals, magazines and research papers directly or indirectly related to the agriculture advancement and digital progression.

With the help of available information we tried give our reader an brief and Hi-tech understanding of Digital Technologies like Artificial Intelligence, Internet of Things, Big Data Analytics, sensors, companies, Satellite Imagery and Remote Sensing, Machine Learning, Robotics Unmanned Aerial Vehicles (Drones) and their mobile Applications like mKisan, Meghdoot, Damini etc.