The Latest Technologies in Farming
We will have nearly 10 billion mouths to feed by 2020 so it has become imperative to improve the produce of food in the world. With only 7.7 billion, agricultural produce is barely adequate to meet the demands currently and with decreasing interest towards agriculture shown by millennials agriculture tech has come to the fore again.
But there is good news. Agriculture technology has had a banner year this year. With interesting new tech that could have long lasting impact on the field emerging in the market. Various innovations aimed at making agriculture easier or or more efficient have popped up. So here are some that will literally change the agri industry.
Water and Soil Sensors
Soil and Water sensors will have immediate impact on the industry, that’s there selling point. These sensors have various purposes like detecting moisture and nitrogen levels, and use that as an inference to determine when to water and fertilize the crops.
These sensors are easy to use and easy to install. They are unobtrusive and not very expensive either, with even family farms finding it affordable to install. The sensors will result in a more efficient cycle of farming using less resources and hence at a lowered cost.
RFID trackers come into play after the harvesting is done, tracking the crops from the field to the stores using RFID sensors. This not only gives the farmers better control over their crops but the consumer will also know exactly where the produce is from and how it ended in their homes. This in turn increases the trust between the farmers and consumers while also tracking issues with certain crops.
Machine Learning and Analytics
Machine learning is one tof the most innovative pieces technology to be invented in this generation. The application of this tech is endless and the applications exist in the agri industry as well. It can be used to track and analyze data for trends, starting before the seed is planted to learn which is the best genes and traits will be best for the crops to increase yield.
But the biggest advantage of machine learning algorithms would be to analyze the market demand and make predictions to show which products are being purchased when and which products will fall under the market. This will help farmers meet the demand more efficiently.
Robotics and Driverless Vehicles
Robotics will have a big role to play in farming if the interest in farming keeps on declining. With less people turning to farming, robots will have to take their place. Drones have a wide range of applications, from monitoring the crops to watering and even determine soil quality through analysis and help in planning seeding.
Driverless vehicles already have a applications in the field. Go to some of the big farms and you will see driverless tractors tilling the fields or autonomous harvesters going about their work.