5 Automation Trends in Agriculture are:
1 . Smart Irrigation:-
The major problem in Indian Agriculture with respect to irrigation is Rainfall and Water availability which has huge imbalance. Demand for water is increasing rapidly because of which there is need to save water and use the water efficiently to get productive yield , Smart Irrigation Systems comes into picture. The Water Level Controllers, Cyclic Timers , Auto Start Units for Submersible Pumps which control and monitor the activity of Irrigation plays a major role in saving water effectively.
2. Smart Sensors and Weather:-
Rapid growth in electronics and computer science has paved a major growth in Agricultural Automation. The Smart Sensors helps in recording the moisture and nitrogen levels which helps the farmers to choose perfect crop based on the soil fertility statistics and irrigate the land at the right time which avoids wrong investment on crops. Weather Tracking applications are booming in the Agricultural Market which helps in predicting the Rain, Wind Speed and Direction which helps in pre-planning and avoid loss of crop.
3. Farming and Robotics:-
Much like using robots and artificial intelligence in other industries, robotics within agriculture would improve productivity and would result in higher and faster yields. Such robots like the spraying and weeding robots recently acquired by John Deere can reduce agrochemical use by an incredible 90%. Other startup robotics companies are experimenting with laser and camera guidance for identifying and removing weeds without human intervention. These robots can use the guidance to navigate between rows of crops on its own, reducing the manpower behind it. Other companies are creating plant- transplanting robots that add a new level of efficiency to traditional methods and finally, automation is being tested for fruit-picking and nut harvesting, something that has always seemed to be too delicate for robotics in the past.
4. RFID Sensors and Tracking:-
After crops are harvested, RFID sensors can be used to track food from the field to the store. The end user, or the consumer, will be able to follow a detailed trail about the food they consume from the farm it came to the location where it was purchased. This technology could increase trustworthiness for manufacturers and their responsibility to provide fresh produce and goods.
5. Machine Learning and Analytics:-
Perhaps one of the most innovative pieces of the digital transformation is the ability to use machine learning and advanced analytics to mine data for trends. This can start way before the planting of the seed, with plant breeders. Machine learning can predict which traits and genes will be best for crop production, giving farmers all over the world the best breed for their location and climate.