IoT, Automation, and Learning on the Modern Farm Today
Beyond the smart city
The bright lights of the big city are not as bright as they used to be, because they are getting smarter. Street lights go out in cities like San Diego, saving energy when vehicles and pedestrians are not nearby.
It’s not just lights. Everything in today’s modern city is about upgrading technology. Attached bins will tell dumpsters that they need to be emptied, optimizing collection routes. Smart buildings inform maintenance personnel of potential repair needs. And you will find parking, saving a lot of frustration, travel time, and traffic congestion.
“Smart city” is a familiar concept, but advances in its manufacturing technology may not be limited to the city limits. They are working in the country farm too, helping modern agriculture grow more efficiently and effectively than ever.
In fact, some innovations in building smart cities are very appropriate, sustainable, and even futuristic, on the farm.
From Square to Fifth Avenue, several key technologies of this modern era are underway: advanced sensor capabilities and IoT connectivity, stand-alone vehicles and drones, and machine learning.
From smart grids to precision farming
In the city, smart grids provide power at the required time and place based on real-time data from a network of Internet-connected sensors. The system immediately monitors power consumption, reports of power outages or power outages, while smart relays and power redirects automatically switch on problems again. All of this is designed to make the electrical grid more robust and reliable with less energy.
The same kind of two-way communication and resource optimization happens in modern agriculture. Drones and wireless soil sensors located throughout the farm provide producers with accurate information about the exact parts of the farm, including variables such as soil moisture, nutrient level, salinity, temperature, soil organic matter and ….
This data can be used to automatically guide variable rate application systems such as drip irrigation. Like the smart grid, it provides variable irrigation on demand and only where needed.
This information can also go directly to the farmer and create a digital field map of current soil conditions and a customized version for the day’s work. When used in conjunction with GPS tractor guidance and smart appliances, manufacturers can pinpoint the exact amount of power, pest control and other resources at exactly when and where they need to be.
Autonomous vehicles and automatic cars
Cars are now filling the headlines, and it is not long before they fill the streets. Robotic buses in Singapore are scheduled to reach three municipalities by 2022.
In Toronto, a complete coastal area full of smart innovations is planned. Among these developments is an exclusively independent transit system using narrow streets. As it turns out, drones can move much more accurately than humans. Instead, protected lands are used for green spaces and more generous pedestrian walkways.
While self-driving vehicles soon roamed the cities, they worked on the farm for decades. Successful tractor manufacturing experiments date back to 1997, when the prototype created a perfectly straight bed exactly one inch. Farmers may still be in the cab today, but tractors do most of the driving.
Automation frees up the farmer’s time to do other things and helps solve another problem for farmers. There are two vacancies for each agricultural job seeker in the United States. And filling them is not harder and easier.
Agricultural robots or pots are designed to help the farm, allowing farmers to increase yields and reduce crop losses while providing a variety of options for workers. Automatic harvesters are now able to identify and select ripe apples, strawberries and tomatoes, all without bruising. By 2024, robots are projected to drive the $ 7.5 billion egg farm industry. This is five times the market volume compared to 2016, approximately 25% of the combined annual growth rate.
Machine learning in smart cities and modern agriculture
Connecting smart cities and modern agriculture, the mountain of data and the growing ability of computers to analyze millions of inputs, learn and optimize flight.
In the city, learning to drive makes a big difference to your morning commute. Thousands of cameras and sensors analyze real-time traffic flow, using a detection pattern to control traffic lights, reduce congestion and reduce travel time by up to 25%.
In modern agriculture, computers contain a small number of inputs – including visual properties, chemical signatures, climatic variables, and thermal images to name just a few – learning how to better care for crops. The new agbot specimens currently being tested can move independently on the farm and use a learning device to identify a variety of plants and only