| | November 20189Therefore, a multitude of technology needs to be employed together to achieve a practical impact in terms of digital transformation in Agriculture.Sensors & IoT in a Connected Farm: A need for a connected and smart ecosystem with sensors placed strategically around fields along with image recognition technologies will allow farmers to monitor and manage their crops from anywhere in the world. These sensors will make the up-to-date information streaming live and enabling the farmer to adapt and make changes in their crop on a real-time basis. The details like soil moisture and weather conditions will also aid the optimal use and conservation of precious resources like water and power. As more and more data is collected, it would aid larger community to automate and benefit from these actionable insights. With increasing adoption of low-power wide-area (LPWAN) network in India, the connected farming is set to get a much-needed boost. Autonomous tractors armed with cameras, edge intelligence with machine vision systems, GPS, LiDAR and IoT connectivity will enable the remote monitoring for efficient operation. Sensors in the agriculture equipment can help in proactive and predictive maintenance in terms of wear and tear. The preventive maintenance will avoid any breakdowns in operation. The GPS and Vision sensors also help to understand the terrain for mapping.The new smart vehicle and the logistic system are also enabled with Sensors to understand yield mapping and harvest documentation, right from the initial stage to condition monitoring during the transit.Drones & Crop Monitoring: With the increased usage of drones, they can work as the perfect monitoring tool for crop and field. They can also be used to produce 3D imaging to predict soil quality through analysis and planning seed planting patterns. Additionally, they can be used for multiple other tasks like, to spray chemicals on crops, to measure the level of fertilizers required, and so on.Robotics: Agriculture robots or AgBots have started to control the regular and day-to-day working at the farms and fields. Driverless Tractors, seeding ma-chines, weeding & pest control robots, and crop pick-ers are of tremendous help to reduce labor, as they increase yield and the overall efficiency in farming. The machines can also act as a disseminator of infor-mation on a regular basis in terms of the health of the crop, deviation from standard measurements or predictions. Automation can also help in preventive actions by employing the data collected to generate the actions required to attain a high-quality yield.Machine Learning & Analytics: Analytics and Machine learning ability to mine data for trends and forecasting, can be leveraged significantly for the profitability of Agriculture sector. Machine learning can help in predicting traits and genes that are best for crop production, giving farmers worldwide insights on the best breed for their location and climate.With the democratization of Machine learning algorithms, it can provide with insights as to which products are being purchased the most and which products are falling under in the market, thus creating adept and effective forecasts for future farming.Digital is the next step for all the industries, and most of them are already onboarding. Agriculture in India has much to benefit from the digital technologies, and the good news is that in spite of being a traditional industry, Agriculture has started taking its initial steps towards digital transformation. This transformation will genuinely enable a `Produce to Consume' ecosystem which would help track and manage all aspects related right from farm produce to transportation to retail and more importantly the customer experience.It is estimated that the percentage of agricultural workers in India, of the total workforce, would drop to 25.7 percent by the year 2050 from 58.2 percent in the year 2001. This is an alarming figure; however, this is also an opportunity for digital to step-in to make a course correction and help revive the agriculture sector to deliver better productivity and quality.If India needs to fulfill its aspiration to be one of the dominant economies in the world, with inclusive and sustained development, it needs to leverage digital to accelerate growth in the Agriculture sector. MACHINE LEARNING CAN HELP IN PREDICTING TRAITS AND GENES THAT ARE BEST FOR CROP PRODUCTION, GIVING FARMERS WORLDWIDE INSIGHTS ON THE BEST BREED FOR THEIR LOCATION AND CLIMATE
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