AI Technology's Impact on Hydroponics: Robotic Automation & Sensors

This report investigates the significant impact of Artificial Intelligence (AI) on hydroponic farming, focusing on the implementation of robotic automation and sensor technology. It highlights how these technologies are revolutionizing agricultural practices by improving crop yields, optimizing resource management, and reducing environmental effects. The report discusses the use of sensors for maintaining optimal conditions, such as pH levels and nutrient concentrations, and the role of robots in maintaining and harvesting crops. It also analyzes the cost efficiency of AI in hydroponics, emphasizing the potential to reduce production costs and enhance crop quality. Furthermore, the report addresses the increasing trust in machines for crop management and explores the future of AI in hydroponic farming, including precision weeding and disease recognition. The references used in the report include research papers and studies that support the findings, providing a comprehensive overview of the subject.

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AI technology in Hydroponics
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How this AI Technology helps in Hydroponics (Robotic Automation, Sensors)
Technology has been a major contributing aspect in individuals’ lives (Naik et. al 2016).
Advancement in the agricultural technology is changing on the way individuals grows food as
well as manage on their harvests, and ultimately reduce on the environmental effects (Kozai,
2016). Artificial intelligence technology such as sensors and the robotics are the two exponential
technologies which has disrupted on the multitude of the billion dollars agricultural industries
(Kozai, 2016). The sensors and the robotics are yielding dramatic improvements in the following
aspects such as knowing on the global yield and the health to the humanity crops (Kozai, 2016).
The combination on the ground drone as well as the satellite based sensors would ensure there is
a good knowledge to what would be going on every acre of crop land to the planet (Skilton and
Hovsepian, 2017). It would be possible to yield, green up rates as well as the saturation levels
(Ren, 2018). Additionally, AI would be crucial in the vertical urban farming (Matanzima, 2014).
The robots and the sensors would offer twenty four hours per day to lighting at the frequency
which are turned (Naik et. al 2016). The sensors are able to maintain the hydroponic water at the
perfect PH, along with the nutrients to the exact levels which could drive the hyper fast growing
and maximal yields, far more than the possible to the far (Matanzima, 2014). The robots usually
maintain and harvest the crop. Consequently, these farms would deliver yields numerous of time.
How far will it affect the current hydroponic Farming?
Artificial intelligence would affect the current hydroponic farming to a great extent (Ren, 2018).
With the AI it would enable an augmented reality to the crop management system would be
crucial to the hydroponic farming (Ren, 2018). There has been combination of the machine
learning, computer vision as well as augmented reality interface which would be crucial and

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would enable any individuals to become a master farmer (Ren, 2018). With the use of the AI the
user would be presented with the data in regards to the plants in the hydroponic farm (Naik et. al
2016). There would be detection and diagnosis of the visual anomalies and suggest on the action
aimed to mitigate the issues that correlates to it with the use of the environmental data in order to
determine on the cause (Naik et. al 2016). AI keeps getting smarter with each harvest and it
would not be long until the world greatest experts on the hydroponic growing would not be a
human (Naik et. al 2016).
Today it is possible to train the artificial neutral networks which could be trained with the huge
sets of the data as well as large scale computing which are deep learning, boosting data driven
solutions in order to improve on the decision making in farming (Ren, 2018). Artificial neural
networks are the computing system (Ren, 2018). The data which would be generated by the
sensors in the farms, on the fields or during the transportation they would provide unprecedented
wealth of the information (Rossouw, 2016). AI which is applied in agriculture could optimize as
well as increase on the yields, improve on the farm planning along with optimizing on the
resources and consequently reduce on the waste (Ren, 2018). AI would have significance in
hydroponic farming since it would be used in the precision weeding and picking of the disease
recognition thus it would have a potential to carve out the new scenarios to the farming system
(Naik et. al 2016). When it comes to precision weeding as well as picking Abundant Robotics
they recently raised ten million dollars aimed to build on a robot which has the capability to pick
on the right apples (Rossouw, 2016). Another example is the Vision Robotics which is a San
Diego organization which has been working on the pair to the robots which could be crucial to
the hydroponic farming (Skilton and Hovsepian, 2017).
Will it be a cost efficient?

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Artificial intelligence would significantly reduce on the cost to a great extent (Matanzima, 2014).
Hydroponic farming is an innovative, soil less system which utilizes less water up to 90% than
the conventional farming (Rossouw, 2016). The use of the AI would help to enhance on the
efficiency as well as reduce on the costs to the hydroponic farming and at the same time optimize
on the nutritional value to the crops. AI creates the economy of abundance (Kozai, 2016). This
is where the marginal costs of the production go down to zero (Rossouw, 2016). The use of the
remote sensors which are placed in the field perceive the environmental as the statistical data.
The algorithms would process on the data, adapting along with the learning in order to predict on
the range of the outcomes (Rossouw, 2016). The farmers would use the AI algorithms to make
better field decisions which increases on the chances to a more successful harvest (Skilton and
Hovsepian, 2017). The combination of the aspects of the AI would ultimately drive lower on the
prices of the production of the crops.
How far can I trust a machine in feeding crops?
The machines are the future in the feeding crops. I would trust them from planting the seeding to
fertilizing as well as chemical application (Rossouw, 2016). There are more and more
agricultural robots which are used in the world to do most of the tasks in the farming. The robots
are used as the laborers that dwindle in number and demands for the crops and the produce are
continuing to grow (Rossouw, 2016). The robots do tasks faster than the human could achieve
and this could help feed millions of people since they are not just a feasible to the farm (Skilton
and Hovsepian, 2017). There are autonomous robots which have the capability to care for the
plants without the human intervention (Rossouw, 2016). Therefore, it is important to trust the
machine to accomplish on all the tasks involved in the production of the crops (Skilton and

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Hovsepian, 2017). In the future there would be variety of the robots which would be used across
the hydroponic farming.

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References
Kozai, T., 2016. Why LED Lighting for Urban Agriculture?. In LED Lighting for Urban
Agriculture (pp. 3-18). Springer, Singapore.
Matanzima, Y., 2014. Quantitative and qualitative optimization of antimicrobial bioactive
constituents of Helichrysum cymosum using hydroponics technology (Doctoral dissertation, Cape
Peninsula University of Technology).
Naik, P.K., Dhawaskar, B.D., Fatarpekar, D.D., Chakurkar, E.B., Swain, B.K. and Singh, N.P.,
2016. Nutrient Changes with the Growth of Hydroponics Cowpea (Vigna unguiculata) Sprouts.
Indian Journal of Animal Nutrition, 33(3), pp.357-359.
Naik, P.K., Dhawaskar, B.D., Fataerpekar, D.D., Swain, B.K., Chakurkar, E.B. and Singh, N.P.,
2016. Yield and nutrient content of hydroponics cowpea sprouts at various stages of growth.
Indian Journal of Animal Sciences, 86(12), pp.118-00.
Naik, P.K., Swain, B.K. and Singh, N.P., 2015. Production and utilisation of hydroponics fodder.
Indian J. Anim. Nutr, 32(1), pp.1-9.
Ren, D., 2018. and Alex Martynenko∗∗ With the rapid development of agricultural science and
technology, automation has become the main driving force for agriculture modernization. The
applications of robotics and automation technology in agriculture include remote. International
Journal of Robotics and Automation, 33(3).
Rossouw, A., 2016. The marketability of small scale hydroponic systems for the horticultural
industry in South Africa (Doctoral dissertation, Cape Peninsula University of Technology).
Skilton, M. and Hovsepian, F., 2017. The 4th Industrial Revolution: Responding to the Impact of
Artificial Intelligence on Business. Springer.