Population growth, global warming, and the advancement of technology have meant that Agriculture Automation is a needed and positive response to traditional agriculture.
Artificial Intelligence (AI) allows for better monitoring of global crops and all-important data on what is available in terms of food resources and vital resources for the world, like water management.
In the 2016 paper Automation in Agriculture: A Study the dawn of automation was explored.
Agricultural automation has been an ever-growing industry for decades and now includes a broader range of tasks, including irrigation, planting, and even flower pollination.
According to the paper North America, Japan, and Europe were leading agricultural mechanization.
The lead is due to focus on agricultural mechanization and environmental management. Inputs required for the development of agricultural mechanization include bio-chemical, socio-economic, and engineering factors that are an integral part of agricultural development.
Engineers and farmers are working together to create technological solutions, and smart farms are becoming the norm.
In the simplest terms, smart farms allow the agriculture sector to have control over precision agriculture.
Advanced technologies are used in such a way that production is at its most efficient, allowing farming practices to cut waste, and have reasonable insight into production yields but also there is an upside to reducing heavy labor and removing tedious tasks in the farming process.
The paper Recent Advances in Smart Farming takes a look at how engineers have been able to grow the industry and create an agriculture sector that is incredibly advanced and more sustainable.
These are some of the fascinating results:
This new research shows how helpful automation is in a variety of agriculture, and how system engineering allows farmers to understand every part of their farming activities.
Under the moniker of smart farming other essential aspects of agriculture is also of vital importance.
The paper Application of IoT and Cloud Computing in Automation of Agriculture Irrigation speaks on how IoT helps irrigation and use of resources effectively.
Data have demonstrated the poor use of water resources in agriculture. To utilize it better IoT is used to look at weather patterns, and effectively use rainwater.
One of the solutions for individual farming is self-contained agricultural precision systems based on central pivot irrigation systems.
The technology uses an underground sensor network that monitors humidity and temperature which can configure a number of factors in soil.
IoT can also monitor the weather to ensure crop survival by raising risks like pests and weather conditions.
Agricultural robots aren’t new, but they are new in terms of how they are used in conjunction with The Internet of Things.
Modern agricultural mechanization and robot technology with automation include a number of robots that assist in smart farming.
These include cultivation robots, fertilizing robots, weeding robots, vegetable grafting robots, transplanting robots, harvesting robots, picking robots and seedling robots, trees pruning robots and fruit picking robots. But they are not limited to manual labor robots.
Drone technology for instance has also shown to be valuable when it comes to planting.
2. Automatic control of a facility or farm:
This can be applied in most facets of agriculture. From soilless cultivation, temperature regulation and photosynthesis of plants can be analysed through control. Monitoring is also completely plausible in terms of plant agriculture for growth purposes.
Automation control gives good insight into irrigation and can also optimize and manage it with less error. Automation in harvesting is also important as it not only improves harvest time (think of time-sensitive crops) but also improves efficiency.
There’s also room for data to show harvest, compare it with other annual harvests and even the potential to have the quality of harvest assessed.
3. IoT Integration and Application:
The application of IOT technology includes agricultural Internet information perception and recognition technology and self-organizing network deployment and information transmission technology for agriculture.
Sensors and signals will be valuable equipment to reach complete IoT integration in agriculture – and it is very possible to do it.
Even novice farmers can utilize IoT sufficiently to create small-scale smart farms.
Last year we reported on EIT’s Senior Developer Mark Cupitt’s own farm where IoT has been exceptionally helpful.
Solar-charged devices and the internet allows Mark great control over his stretch of land.
Smart Farms are at its core meant to be simple, just in a very digitized way.
The paper e-Assistance for Smart Farmers proposes that there are still four key areas for Smart Farms, regardless of scale, to sow its rewards.
Cheaper and more accessible sensors that are to be attached to devices for actuation and monitoring are needed. Sensors can be costly, but they also need to be well-chosen based on the data that is needed. Since these technologies are being developed it’s still not as easy as picking sensors for a specific crop or climate.
High-tech agriculture is dependent on data analytics, and data collection needs to be done locally or through cloud data. This is where mined data comes in to make the right predictions for successful farming practices.
Hardware maintenance is still a challenge as many sensors are exposed to natural elements for long periods of time. Maintenance is still crucial for existing sensors, but in the future maintenance should come down.
Smartphones and devices are essential for smart farming. Farmers need to be able to wirelessly connect with their farms and get all the data they need.
As these matters are being advanced, it’s important to take note of how agricultural jobs might change. For instance, hardware maintenance could replace some of the jobs that might be automated, showing that although automation and smart farming will rely more on systems like robots for labour, human jobs are still important for the successful running of smart farms.
In the same way, data analysts for farms will be needed to create better algorithms for specific farming scenarios, crop cultivation or livestock management.
In the pressured environment of global population increases and the need for sustainability, Smart Farms are needed in the agriculture arena.
These farms ensure better control over the internal processes and lower production risks. This in turn means the sector is better equipped for investors and the economy to place faith in crops. Production output can be foreseen and areas like distribution can for instance be pre-managed or planned.
This also guarantees better product distribution. There is major cost reduction and also waste reduction in smart farming. There is a reduction in risks. Pest control can be managed on simpler terms. Most of all there is an increase in business efficiency.
Agricultural engineering technology is a comprehensive technology that covers multi-disciplinary fields including mechanical engineering, agricultural planting technology, agricultural machinery technology, engineering management technology, genetic engineering technology, and agricultural product processing technology.
Civil and structural engineering as well as automation is part of the group of potential engineers that forms part of this major field of agricultural engineering.
The paper Career in agricultural engineering: A prologue gives engineers a taste of what is to come when entering the field.
For scope, current engineers or students interested in any of the following will find a home in agriculture.
Because agriculture is the backbone of almost any nation in the world there are a lot of opportunities in terms of employment but also in terms of programs that develop these skills in engineers.
One thing is certain engineers have a role to play in agriculture, and smart farms and automation are just the start.
Ren, Dong & Martynenko, Alex. (2018). Guest editorial: Robotics and automation in agriculture. International Journal of Robotics and Automation. 33. 10.2316/Journal.206.2018.3.206-0001.
Career in agricultural engineering: A prologue. Available from: https://www.researchgate.net/publication/319397804_Career_in_agricultural_engineering_A_prologue [accessed May 09 2022].
Research on the Application of Agricultural Engineering Technology in Agricultural Modernization. Available from: https://www.researchgate.net/publication/347350694_Research_on_the_Application_of_Agricultural_Engineering_Technology_in_Agricultural_Modernization [accessed May 09 2022].
E -ASSISTANCE FOR SMART FARMING. Available from: https://www.researchgate.net/publication/359730179_E_-ASSISTANCE_FOR_SMART_FARMING [accessed May 09 2022].
Guest editorial: Robotics and automation in agriculture. Available from: https://www.researchgate.net/publication/325307706_Guest_editorial_Robotics_and_automation_in_agriculture [accessed May 09 2022].
Application of IoT and Cloud Computing in Automation of Agriculture Irrigation. Available from: https://www.researchgate.net/publication/357919561_Application_of_IoT_and_Cloud_Computing_in_Automation_of_Agriculture_Irrigation [accessed May 09 2022].
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