AI Technologies in Hydroponic Farming: Benefits and Methods
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This literature review discusses the benefits of implementing AI technologies in hydroponic farming, including steady production rates, reduced water usage, and safer production. It also explores the methods through which predictive analysis can help farmers. The review includes references from various sources on the topic.
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Running head: LITERATRE REBIEW
LITERATRE REBIEW
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LITERATRE REBIEW
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2LITERATURE REVIEW
Table of Contents
AI technologies help in solving the problems of current hydroponics farming..................3
Affect of Artificial Intelligence in current farming situation..............................................4
Methods through which predictive analysis help the farmer...............................................4
Benefits after implementing AI technology........................................................................5
References............................................................................................................................7
Table of Contents
AI technologies help in solving the problems of current hydroponics farming..................3
Affect of Artificial Intelligence in current farming situation..............................................4
Methods through which predictive analysis help the farmer...............................................4
Benefits after implementing AI technology........................................................................5
References............................................................................................................................7
3LITERATURE REVIEW
AI technologies help in solving the problems of current hydroponics farming
Artificial Intelligence technology helps in solving the problems that the hydroponic
farming is facing in these current days. Nowadays the hydroponic farming is referred to as one of
the best practices. Without implanting a plant in soil with the help of this technique the plants
can be grown itself. For the things like nutrients, materials the soil works as a reservoir.
According to Russell and Norvig (2016), a plant can grow naturally if sufficient water, minerals
and organic materials are supplied to it then it will grow naturally. As the usages of pesticides are
growing everyday thus the botanist decided to implement Artificial Intelligence to it. It has been
found that the issues associated to current farming can be completely minimized with the
implementation of the AI technology.
With the implementation of artificial intelligence in the hydroponic farming it gives many
advantages over the traditional farming. It provides steady production rate of vegetables and fruit
production, the farmers are not required to give on a daily basis. Spiro, Bruce and Brewer (2017)
states that in his kind of farming the farmers use lesser amount of water compared to the
traditional farming, because in this case water is reused. It can save the cash and that can again
be invested in other spaces either for seeds or for suppliers. The productions are absolutely safe
from chemicals thus avoids the possibilities of soil borne disease. In addition to tis the
production is again fresher than the traditional farming production. Within a small plot huge
amount of product of vegetables and fruits are possible. The AI provides highly top rated indoor
gardening kit, it also use lesser nutrition matter an lesser space also.
AI technologies help in solving the problems of current hydroponics farming
Artificial Intelligence technology helps in solving the problems that the hydroponic
farming is facing in these current days. Nowadays the hydroponic farming is referred to as one of
the best practices. Without implanting a plant in soil with the help of this technique the plants
can be grown itself. For the things like nutrients, materials the soil works as a reservoir.
According to Russell and Norvig (2016), a plant can grow naturally if sufficient water, minerals
and organic materials are supplied to it then it will grow naturally. As the usages of pesticides are
growing everyday thus the botanist decided to implement Artificial Intelligence to it. It has been
found that the issues associated to current farming can be completely minimized with the
implementation of the AI technology.
With the implementation of artificial intelligence in the hydroponic farming it gives many
advantages over the traditional farming. It provides steady production rate of vegetables and fruit
production, the farmers are not required to give on a daily basis. Spiro, Bruce and Brewer (2017)
states that in his kind of farming the farmers use lesser amount of water compared to the
traditional farming, because in this case water is reused. It can save the cash and that can again
be invested in other spaces either for seeds or for suppliers. The productions are absolutely safe
from chemicals thus avoids the possibilities of soil borne disease. In addition to tis the
production is again fresher than the traditional farming production. Within a small plot huge
amount of product of vegetables and fruits are possible. The AI provides highly top rated indoor
gardening kit, it also use lesser nutrition matter an lesser space also.
4LITERATURE REVIEW
Affect of Artificial Intelligence in current farming situation
There are two different techniques such as solution culture and medium culture
hydroponic farming are there. In case of medium culture a medium is always used for handling
the system appropriately on the other hand in solution culture there is no application of solid
medium is present (Nilsson 2014). Both passive and active method are available with AI those
are used in hydroponic farming. Watering manually is a passive method and mostly for larger
hydroponics projects pumping is used for delivering nutrition. With the help of Artificial
Intelligence (AI), the major benefits that can be gained include lack of toxins, less water
usability, lesser space, early harvesting, soil born disease etc.
Counterfeit consciousness innovation helps in taking care of the issues that the
hydroponic cultivating is looking in these present days. These days the hydroponic cultivating is
alluded to as outstanding amongst other practices. Without embedding a plant in soil with the
assistance of this system the plants can be developed itself. For the things like supplements,
materials the dirt functions as a store. As indicated by Wenger (2014) a plant can develop
normally if adequate water, minerals and natural materials are provided to it then it will develop
normally. As the uses of pesticides are developing regular in this manner the botanist chose to
execute Artificial Intelligence to it. It has been discovered that the issues related to current
cultivating can be totally limited with the usage of the AI innovation.
Methods through which predictive analysis help the farmer
Predictive analysis is referred to as an approach that lends itself to the excess nitrogen
issues as the models can be developed for handling a wider range of inputs and spatial variation
(Bond and Gasser 2014). However during the consideration of predictive analytics for the
Affect of Artificial Intelligence in current farming situation
There are two different techniques such as solution culture and medium culture
hydroponic farming are there. In case of medium culture a medium is always used for handling
the system appropriately on the other hand in solution culture there is no application of solid
medium is present (Nilsson 2014). Both passive and active method are available with AI those
are used in hydroponic farming. Watering manually is a passive method and mostly for larger
hydroponics projects pumping is used for delivering nutrition. With the help of Artificial
Intelligence (AI), the major benefits that can be gained include lack of toxins, less water
usability, lesser space, early harvesting, soil born disease etc.
Counterfeit consciousness innovation helps in taking care of the issues that the
hydroponic cultivating is looking in these present days. These days the hydroponic cultivating is
alluded to as outstanding amongst other practices. Without embedding a plant in soil with the
assistance of this system the plants can be developed itself. For the things like supplements,
materials the dirt functions as a store. As indicated by Wenger (2014) a plant can develop
normally if adequate water, minerals and natural materials are provided to it then it will develop
normally. As the uses of pesticides are developing regular in this manner the botanist chose to
execute Artificial Intelligence to it. It has been discovered that the issues related to current
cultivating can be totally limited with the usage of the AI innovation.
Methods through which predictive analysis help the farmer
Predictive analysis is referred to as an approach that lends itself to the excess nitrogen
issues as the models can be developed for handling a wider range of inputs and spatial variation
(Bond and Gasser 2014). However during the consideration of predictive analytics for the
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5LITERATURE REVIEW
solutions of agriculture are applied many other factors are required to be maintained accordingly.
Through predictive analytics and sophisticated computing models the issues of excess nitrogen
can be resolved and the consumers will be able to get the outcomes in terms of insightful, easy
usability, values add on and action ability. Prescient examination is alluded to as an approach
that fits the overabundance nitrogen issues as the models can be produced for taking care of a
more extensive scope of information sources and spatial variety. Anyway amid the thought of
prescient investigation for the arrangements of horticulture are connected numerous different
elements are required to be looked after likewise (Hutter et al. 2014). Through prescient
investigation and refined registering models the issues of abundance nitrogen can be settled and
the buyers will have the capacity to get the results as far as wise, simple convenience, values add
on and significance.
Benefits after implementing AI technology
There are two unique methods, for example, arrangement culture and medium culture
hydroponic cultivating are there (Steels and Brooks 2018). If there should be an occurrence of
medium culture a medium is constantly utilized for taking care of the framework suitably then
again in arrangement culture there is no use of strong medium is available. Both aloof and
dynamic technique are accessible with AI those are utilized as a part of hydroponic cultivating.
Watering physically is a latent technique and for the most part for bigger hydroponics ventures
pumping is utilized for conveying nourishment. With the assistance of Artificial Intelligence
(AI), the significant advantages that can be picked up incorporate absence of poisons, less water
ease of use, lesser space, early reaping, soil conceived sickness and so forth. It provides steady
production rate of vegetables and fruit production, the farmers are not required to give on a daily
basis. Spiro, Bruce and Brewer (2017) states that in his kind of farming the farmers use lesser
solutions of agriculture are applied many other factors are required to be maintained accordingly.
Through predictive analytics and sophisticated computing models the issues of excess nitrogen
can be resolved and the consumers will be able to get the outcomes in terms of insightful, easy
usability, values add on and action ability. Prescient examination is alluded to as an approach
that fits the overabundance nitrogen issues as the models can be produced for taking care of a
more extensive scope of information sources and spatial variety. Anyway amid the thought of
prescient investigation for the arrangements of horticulture are connected numerous different
elements are required to be looked after likewise (Hutter et al. 2014). Through prescient
investigation and refined registering models the issues of abundance nitrogen can be settled and
the buyers will have the capacity to get the results as far as wise, simple convenience, values add
on and significance.
Benefits after implementing AI technology
There are two unique methods, for example, arrangement culture and medium culture
hydroponic cultivating are there (Steels and Brooks 2018). If there should be an occurrence of
medium culture a medium is constantly utilized for taking care of the framework suitably then
again in arrangement culture there is no use of strong medium is available. Both aloof and
dynamic technique are accessible with AI those are utilized as a part of hydroponic cultivating.
Watering physically is a latent technique and for the most part for bigger hydroponics ventures
pumping is utilized for conveying nourishment. With the assistance of Artificial Intelligence
(AI), the significant advantages that can be picked up incorporate absence of poisons, less water
ease of use, lesser space, early reaping, soil conceived sickness and so forth. It provides steady
production rate of vegetables and fruit production, the farmers are not required to give on a daily
basis. Spiro, Bruce and Brewer (2017) states that in his kind of farming the farmers use lesser
6LITERATURE REVIEW
amount of water compared to the traditional farming, because in this case water is reused. It can
save the cash and that can again be invested in other spaces either for seeds or for suppliers. The
productions are absolutely safe from chemicals thus avoids the possibilities of soil borne disease.
amount of water compared to the traditional farming, because in this case water is reused. It can
save the cash and that can again be invested in other spaces either for seeds or for suppliers. The
productions are absolutely safe from chemicals thus avoids the possibilities of soil borne disease.
7LITERATURE REVIEW
References
Bond, A.H. and Gasser, L. eds., 2014. Readings in distributed artificial intelligence. Morgan
Kaufmann.
Hutter, F., Xu, L., Hoos, H.H. and Leyton-Brown, K., 2014. Algorithm runtime prediction:
Methods & evaluation. Artificial Intelligence, 206, pp.79-111.
Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann.
Russell, S.J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia; Pearson
Education Limited,.
Skowron, P., Faliszewski, P. and Lang, J., 2016. Finding a collective set of items: From
proportional multirepresentation to group recommendation. Artificial Intelligence, 241, pp.191-
216.
Spiro, R.J., Bruce, B.C. and Brewer, W.F. eds., 2017. Theoretical issues in reading
comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and
education (Vol. 11). Routledge.
Steels, L. and Brooks, R. eds., 2018. The artificial life route to artificial intelligence: Building
embodied, situated agents. Routledge.
Wenger, E., 2014. Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.
References
Bond, A.H. and Gasser, L. eds., 2014. Readings in distributed artificial intelligence. Morgan
Kaufmann.
Hutter, F., Xu, L., Hoos, H.H. and Leyton-Brown, K., 2014. Algorithm runtime prediction:
Methods & evaluation. Artificial Intelligence, 206, pp.79-111.
Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann.
Russell, S.J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia; Pearson
Education Limited,.
Skowron, P., Faliszewski, P. and Lang, J., 2016. Finding a collective set of items: From
proportional multirepresentation to group recommendation. Artificial Intelligence, 241, pp.191-
216.
Spiro, R.J., Bruce, B.C. and Brewer, W.F. eds., 2017. Theoretical issues in reading
comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and
education (Vol. 11). Routledge.
Steels, L. and Brooks, R. eds., 2018. The artificial life route to artificial intelligence: Building
embodied, situated agents. Routledge.
Wenger, E., 2014. Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.
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