Prospects of IoT Technology for Supply Chain Traceability of
GI - Tagged Nendran Bananas in Kerala: A Review
Mridula N., Sakeer Husain A. and Aneesha A. K.
College of Agriculture, Vellanikkara, Kerala Agricultural University, India
Keywords: Internet of Things (IoT), Radio Frequency Identification (RFID) Tags, QR Codes, Supply Chain, Traceability,
Bananas, Nendran, Geographical Indication.
Abstract: Nendran bananas are the exclusive commercial plantain variety of Kerala due to a combination of climatic
conditions, traditional farming practices, geographical indication recognition, culinary importance, export
demand, and cultural significance. However, the fragmented supply chain, together with the absence of quality
certification and traceability, adversely affects worldwide demand, market linkages, and finance of the
engaged stakeholders. The potential application of Internet of Things (IoT) technology to the supply chain
management of Kerala's Nendran bananas is examined in this review study. The Internet of Things (IoT)
allows for seamless data sharing, which enhances productivity, efficiency, automation, and decision-making.
IoT sensors, found on the farm and in consignments, provide the banana industry with actionable insights that
increase farm productivity, lower the cost of essential inputs, and improve post-harvest yield and quality.
Besides solar-powered inline nitrate sensors that monitor sediment, control irrigation levels, and limit
fertilization usage, onsite IoT sensors also serve as weather monitoring stations and prevent nitrate runoff.
These sensors make it possible to gauge the fruit's size and comprehend the influence of the weather on the
yield. Bunches of bananas with radio frequency identification (RFID) tags track their upkeep, harvesting,
sorting, and transportation while cutting expenses and lowering environmental impact. RFID readers that use
ultra-high-frequency technology track the products' movements and by scanning QR codes, consumers can
monitor the route of the banana directly from its origin. These real-time views of the farm or supply chain,
provide data to validate that each banana was produced in high environmental standards. Consumer
confidence is increased by transparency and traceability from the farm to the plate, and data can guarantee
the integrity of food safety. Kerala government must implement supply chain traceability by incorporating
IoT technology into export-oriented horticultural products, like Nendran bananas, to achieve notable
improvements in productivity, precision, and sustainability.
1 INTRODCUTION
Bananas are one of the most nutritious, popular, and
economically important horticultural products of
Kerala. Nendran bananas, especially the
Chengalikodan banana variety from Thrissur district,
are exclusive commercial plantain varieties of Kerala
due to their geographical indication recognition,
culinary importance, export demand, and cultural
significance. Hence high demand is observed for
Nendran bananas in domestic and overseas markets
wherever the Asian diaspora is settled. However, the
fragmented supply chain of Nendran bananas has a lot
of challenges that adversely affect quality standards,
market linkages, and financial aspects of all involved
stakeholders. Utilizing cutting-edge technologies like
the Internet of Things (IoT) and sophisticated sensors
could increase agricultural output and reduce
financial loss. Numerous global studies have
adequately shown how integrated IoT-smart sensors
may be used to monitor environmental parameters,
including temperature, humidity, moisture content,
and soil composition, that are essential for crop
growth. With the advent of the Internet of Things,
agricultural supply chain traceability should be built
to provide assurance. Global tracking and automatic
product identification for agricultural products offer
comprehensive data covering the whole product life
cycle. Hence, by employing IoT to optimize the
supply chain that links farmers and their products,
transparency is preserved.
218
N., M., A., S. H. and A. K., A.
Prospects of IoT Technology for Supply Chain Traceability of GI - Tagged Nendran Bananas in Kerala: A Review.
DOI: 10.5220/0013555200004519
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st Inter national Conference on Emerging Innovations for Sustainable Agriculture (ICEISA 2024), pages 218-223
ISBN: 978-989-758-714-6
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
1.1 Research Questions
This review paper addresses the following research
questions.
How authenticity, quality and product
provenance can be ensured in GI-tagged fruits of
high demand like Nendran banana?
How Internet of Things (IoT) technology can
address these issues, provide supply chain
traceability and ensure the reputation of Nendran
banana for quality?
1.2 Objectives
The objectives of this review paper included;
1) Examining prospects of application of Internet of
Things (IoT) technology in production and
supply chain traceability and management of
fresh farm produce including banana.
2) Reviewing the role of IoT sensors, Radio
Frequency Identification (RFID) tags and Quick
Response (QR) codes in supply chain traceability
of fresh farm produce including GI-tagged
Nendran bananas.
2 METHODOLOGY
This review paper utilized a systematic literature
review (SLR) following the below review protocol.
Databases viz. sciencedirect.com, nih.gov,
nature.com, springer.com, elsevier.com and research
papers in other open-access peer-reviewed journals
were looked upon with a specific focus on reviewing
the published research work to attain an unbiased and
objective summary of the current state and future
potential of IoT applications in production and supply
chain traceability of fruits like banana. SLR evaluates
and interprets all existing research pertinent to a
question, issue, or phenomenon of interest using a
scientific and replicable methodology (Cook et al.,
1997; Booth et al., 2012).
Other than the relevant keywords, the searched
items included, in particular, the employability of IoT
sensors, RFID tags and QR codes in the production
and supply chain of fresh farm products in different
parts of the world for which the search strings were
established using Boolean logic, with OR/AND. The
latest and relevant results and salient findings were
summarised and presented year-wise.
3 RESULTS AND SALIENT
FINDINGS
3.1 IoT Sensors
With the use of several low-cost sensor nodes, the
Internet of Things (IoT) is rapidly expanding its use
in agricultural modernization. It can track crop
disease and insect incidence from a micro level and
gather real-time weather data related to crop growth.
Enhancing agricultural productivity and reducing
financial loss could be achieved by integrating
cutting-edge technology like the Internet of Things
(IoT) with sophisticated sensors. Many studies
around the world have satisfactorily shown how
integrated IoT-smart sensors can be used to monitor
environmental factors that are essential to crop
growth, such as moisture, temperature, humidity,
pollution, water content, soil quality, radiation, and
soil composition. Sensors that are automated are also
used to measure greenhouse gasses like carbon
dioxide, methane, etc. Additionally, smart farming
makes it possible to measure the quantity of nitrogen
in the soil, which aids farmers in figuring out how
much fertilizer to apply to their fields. Furthermore,
smart farming enhances precision through improved
agricultural work management and timely decision-
making based on collected data (Rajak et al., 2023).
Farmers may better manage their crops and
vegetables over a wider area in less time by
combining the Internet of Things with a variety of
smart sensors. IoT may also make it easier to
determine when and why to apply fertilizer and
pesticides in the field. IoT applications might
undoubtedly cut down on resource waste while
safeguarding farmers' profits. IoT sensors provide the
banana industry with actionable insights that increase
farm productivity, lower the cost of essential inputs,
and improve post-harvest yield and quality. These
sensors can be found on the farm and in consignments
that are delivered to customers. In addition to solar-
powered inline nitrate sensors that monitor sediment,
control irrigation levels, and limit fertilization usage,
onsite IoT sensors also serve as weather monitoring
stations and prevent nitrate runoff. These sensors
make it possible to measure the fruit size and
comprehend how the weather may affect harvests in
the future. Food quality assurance (such as testing for
contaminants, toxins, and packaging) and plant
development monitoring (such as phenotyping,
stressors, volatile organic components, nutritional
levels, hormones, and pathogens) are two areas where
sensors are useful.
Prospects of IoT Technology for Supply Chain Traceability of GI - Tagged Nendran Bananas in Kerala: A Review
219
In 2023, Ataei et al. recognised the use of IoT-
enabled sensor technology to measure current
emperature, soil moisture, humidity, and water usage
for fieldwork. It also analyzes decisions made in
conjunction with farmers, automates water and
fertilizer delivery, and regulates system temperature,
relative humidity, oxygen and carbon dioxide levels,
vibration, and shocks.
Understanding these factors is
beneficial for optimizing the quality of the final
product, as stated by Keates (2023), Lamberty and
Kreyenschmidt (2022), and Sekaran et al. (2020).
Water management with IoT sensors: Lakshmi et al.
(2023) accurately calculated the amount of water
required for tomato and eggplant crops by utilizing
sensors and Internet of Things scheduling. When the
irrigation was
managed with these soil moisture
sensors, the plants looked better and needed 46%
less water.
IoT devices for monitoring pests and diseases:
According to Nandhini et al. (2022), IoT sensors were
shown to be beneficial in the Compressive Sensing
Integrated Disease Detection System for the aim of
monitoring banana plant diseases, such as bunchy top
and sigatoka leaf spot. Colour and temperature
sensors were employed by Duraianand and
Sivasangari (2022) to detect leaf diseases in bananas,
such as Sigatoka and black leaf streak. An IOT sensor
network and machine learning techniques were
successfully used by Silupu et al. (2021) to predict the
incidence of thrips in organic bananas.
IoT sensors for managing fertilizer and soil: Grand
Nain Bananas used less water and NPK fertilizer as a
result of IoT sensors for IoT-based soil water
potential sensors, which decreased financial risk for
farmers (Salimath et al., 2023). According to Fan et
al. (2022), an IoT system for real-time soil
monitoring could reveal the paths through which
nitrogen is lost during the production of bananas, as
well as weather data, soil moisture content, and
surface water runoff. In bananas, an Internet of
Things machine learning model can determine
whether the soil condition is ideal, adequate, or
unacceptable (Iorliam, 2022). Real-time soil nitrate
concentration monitoring—an IoT node with ion-
selective electrode soil nitrate sensors for precision
agriculture—can help with decisions about fertilizer
management, increase the efficiency of N use, and
decrease nitrogen losses to the environment. (Bristow
et al., 2022)
IoT sensors for harvesting and ripening: According
to Altaf et al. (2020), wireless sensor networks
(WSN) and Internet of Things (IoT)-based neural
networks were utilized to remotely monitor the
ripening of bananas in Pakistan. The use of AI in
banana production aids in the detection of crop type,
crop grade, ripeness, leaf diseases, and soil control.
(Almeyda and Ipanaqué, 2022).
IoT sensors in polyhouse:
For Nepali smallholder farmers to display, monitor,
and control real-time data about their crops, livestock,
and other agricultural assets Lamsal et al. (2023)
created an affordable, configurable, scalable, and
reliable Internet of Things platform. Eighty-four per-
cent of the citrus plants grafted during the offseason
were successful thanks to the platform, which was set
up within a polyhouse.
3.2 RFID Tags
IoT solutions based on radio frequency identification
(RFID), such as RFID tags on banana bunches,
monitor the care, harvesting, sorting, and shipping of
the bananas, increasing productivity while cutting
costs and decreasing environmental impact. While
handheld scanners read the ultra-high frequency RFID
tags, they send the data to the cloud. Fruit and
vegetable boxes with RFID tags use RFID readers that
track the products' movements as they go from fields
to distribution centres and then to retail locations.
These devices keep an eye on the farm's or supply
chain's circumstances in real-time and provide
recommendations based on the software they access
and monitor. To sell fruit as a premium product rather
than at a discount, the producer can simply track any
tainted batch of food back to its source by removing
the information from an RFID tag. From the farm to
the market to the customer, the information on the tags
verifies that every banana was grown under strict
environmental guidelines. Data can ensure the
integrity of food safety, and transparency and
traceability from the plantation to the plate can
increase consumer confidence.
Mango farms use RFID-Based Fruit Monitoring
and Orchard Management Systems, where each
employee is given a duty list that includes spraying,
plucking, and early fruit cover with bags. The status is
updated in the cloud database once the tasks are
completed. (Imdaad et al., 2023). Humidity,
temperature, gas, pH, integrity, and traceability
sensors for food packaging are identified by RFID-
based sensing in smart packaging (Zuo et al., 2022).
According to Nugraheni et al. (2016), RFID
technology was utilized in Indonesian banana
traceability systems so that customers could view
details about the product, including planting and
harvesting information.
According to studies by Kavya (2012) and Verma
et al. (2015), colour indices of bananas can be used
ICEISA 2024 - International Conference on ‘Emerging Innovations for Sustainable Agriculture: Leveraging the potential of Digital
Innovations by the Farmers, Agri-tech Startups and Agribusiness Enterprises in Agricu
220
by RFID technology to track the ripening process of
bananas. With its focus on expiration dates and
remaining shelf life, RFID could be advantageous to
distributors, retailers, and consumers in the supply
chain of extremely perishable food. (Grunow and
Pira, 2013).
RFID-based technologies have the potential to
produce automated alerts for containers that have
lower banana green life or temperature issues. They
can also remotely monitor the ripening process within
the container. Controlling waste and losses, recycling,
identifying undesired ripening and volatile
components that suggest mold infections, and
monitoring and controlling the food quality evolution
during its postharvest life are just a few of the
environmental problems they could take on. Batch
mixing incidents might be found, and compromised
batches could be removed from the market and
supply chain. Negara and Dachyar (2021), Navarro et
al. (2021), Onwude et al. (2016), Duroc and Kaddour
(2012) and Jedermann et al. (2006).
3.3 QR Codes
QR codes are utilized to provide nutritional
information about products and to provide
transparency in the banana supply chain (Hassoun et
al., 2023; Surbhi Bhatia and Albarrak, 2023).
According to Kavyasree and Natarajan's (2022)
research, QR codes utilizing laser technology in
exotic dragon fruit provide a sustainable, anti-
counterfeiting, hygienic, clean, and non-contact
traceability solution. QR codes also provide
traceability from production to customer. In addition
to increasing transparency, lowering the cost of food
recalls, and reducing waste and loss, it also improved
the safety and quality of numerous fruits and
vegetables. Recently, the Vegetable and Fruit
Promotion Council Keralam (VFPCK), in Kerala,
employed QR codes to boost banana exports and
fetch better prices by leveraging geographical
indications, ensuring the Nendran Banana’s
reputation for quality. This can be replicated in the
case of other fresh produce with export potential.
4 CONCLUSION AND
SUGGESTIONS FOR SUPPLY
CHAIN MANAGEMENT OF GI
TAGGED NENDRAN BANANA
Since fresh food has historically not been particularly
sensitive to margins, losses from spoiling have been
accepted as a necessary expense of conducting
business. Gathering data is crucial to understanding
how a firm operates, particularly in the fresh food
industry. To provide clear and reliable insight into the
efficacy and inefficiencies along the supply chain, it
is imperative to capture the appropriate data. Cost-
effective IoT sensor integration into processes
facilitates information gathering, accurate company
health assessment, and necessary correction before a
poorly thought-out or inadequate decision ruins
business outcomes.
Knowing about problems as they arise helps
ensure that none of the problems affecting the farm
produce's remaining freshness turn into real
problems. Product management from field to shelf
affects how fresh it remains. When paired with cloud-
based predictive analytics, IoT technologies keep an
eye on a wide range of characteristics and may
precisely estimate a product's remaining freshness
and offer an up-to-date snapshot of its handling. This
makes it possible for supply chain managers to
proactively manage farm output using actual product
data as opposed to the present simpler assumptions
based on harvest date (which presumes uniform
processing) or visual inspection. IoT technology
adoption can have a significant impact since it is far
better at providing the kind of data and knowledge
required to guide proactive decision-making and
correct inefficiencies. Growers can increase the
profitability of the food they labour so hard to
produce, merchants can provide their customers with
a high-quality product, and consumers may feel more
confident about their purchases by proactively
managing the products through the supply chain.
By enhancing decision-making at every stage and
hence lowering food waste, IoT technology and
cloud-based analytics have the potential to change the
fresh food supply chain completely. Internet of
Things (IoT) sensors can change an assumption-
based supply chain into one driven by real-time,
detailed data showing how to make the best decisions
possible. Growers, processors, distributors, and
retailers can optimize food waste and increase food
safety and supply chain transparency by
implementing a data-driven approach that leverages
IoT and cloud analytics to solve the hidden issues
affecting the fresh food supply chain.
Based on the research findings, it is evident that
IoT is poised to bring about remarkable
transformations in the production and supply chain of
GI-tagged farm produce like Nendran bananas with
the potential for enhancing efficiency, accuracy, and
sustainability in production and profits. As the
preliminary step, farm/farmer profiling is to be
Prospects of IoT Technology for Supply Chain Traceability of GI - Tagged Nendran Bananas in Kerala: A Review
221
carried out by assessing the landholding information
under Nendran bananas. Geo-mapping of Nendran
banana farms can be done by connecting each harvest
to geo coordinates and unique QR codes. IoT sensors
can be employed on farms to follow a package of
practice recommendations
from planting to harvest
stage. RFID tags can enhance the sales margin by
assessing the optimal period of harvest and leading to
sales of products as per market demands. Quality
adherence to post-harvest processes and traceability
in transportation to know the origin, grade, supply
chain touch points, and feedback provision are
possible by the use of IoT sensors, RFID tags, and QR
codes in banana production and export for ensuring
overall quality supply chain and export of GI banana.
Consumer confidence is increased by transparency
and traceability from the farm to the plate, and IoT
data can guarantee the integrity of food safety. Kerala
must implement supply chain traceability by
incorporating IoT technology into export-oriented
horticultural products, like Nendran bananas, to
achieve notable improvements in productivity,
precision, and sustainability
.
5 FUNDING
No funding was received to assist with the
preparation of this manuscript.
6 CONFLICTS OF INTEREST
Regarding the subject matter of this paper, the writers
have no relevant conflicts of interest to disclose
REFERENCES
Almeyda,, E., and Ipanaqué, W. 2022. Recent
developments of artificial intelligence for banana:
application areas, learning algorithms and future
challenges. Engenharia Agrícola, 42(spe), e20210144.
https://doi.org/10.1590/1809-4430
Eng.Agric.v42nepe20210144/2022
Altaf, Saud, Shafiq Ahmad, Mazen Zaindin, and
Muhammad Waseem Soomro. 2020. Xbee-Based WSN
Architecture for Monitoring of Banana Ripening
Process Using Knowledge-Level Artificial Intelligent
Technique. Sensors 20(14) :4033.
https://doi.org/10.3390/s20144033
Ataei Kachouei, M., Kaushik, A. and Ali, M.A. 2023.
Internet of Things-Enabled Food and Plant Sensors to
Empower Sustainability. Adv. Intell. Syst., 5: 2300321.
https://doi.org/10.1002/aisy.202300321
Bhatia, S., Albarrak, A.S. 2023. A Blockchain-Driven Food
Supply Chain Management Using QR Code and XAI-
Faster RCNN Architecture. Sustainability15(3):2579.
https://doi.org/10.3390/su15032579
Booth, A., Papaioannou, D., and Sutton, A. 2012.
Systematic approaches to a successful literature
review. London: Sage
Bristow, N., Rengaraj, S., Chadwick, D. R., Kettle, J.,
Jones, D. L. 2022. Development of a LoRaWAN IoT
Node with Ion-Selective Electrode Soil Nitrate Sensors
for Precision Agriculture. Sensors (Basel).
22(23):9100. doi: 10.3390/s22239100.
Cook D.J., Mulrow C.D., and Haynes B. 1997. Systematic
reviews: synthesis of best evidence for clinical
decisions. Ann. Intern. Med., 126:376–380. doi:
10.7326/0003-4819-126-5-199703010-00006.
Duraianand, T. and Sivasangari R. 2022. IOT-based banana
leaf disease identification system. International
Research Journal of Modernization in Engineering
Technology and Science.4(9):1021-1026. DOI:
https://www.doi.org/10.56726/IRJMETS29934
Duroc, Y., and Kaddour,D. 2012. RFID Potential Impacts
and Future Evolution for Green Projects,Energy
Procedia18:91-
DOI:98,https://doi.org/10.1016/j.egypro.2012.05.02
Fan, Yingzheng, Xingyu Wang, Thomas Funk, Ishrat
Rashid, Brianna Herman, Nefeli Bompoti, MD Shaad
and Mahmud. 2022. A critical review for real-time
continuous soil monitoring: Advantages, challenges,
and perspectives. Environmental Science &
Technology.56(19): 13546-13564.
Grunow, Martin & Piramuthu, Selwyn. 2013."RFID in
highly perishable food supply chains Remaining shelf
life to supplant expiry date?," International Journal of
Production Economics,146(2): 717-727.
Hassoun A., Senem Kamiloglu, Guillermo Garcia-Garcia,
Carlos Parra-López, Hana Trollman, Sandeep Jagtap,
Rana Muhammad Aadil,and Tuba Esatbeyoglu. 2023.
Implementation of relevant fourth industrial revolution
innovations across the supply chain of fruits and
vegetables: A short update on Traceability 4.0, Food
Chemistry,409https://doi.org/10.1016/j.foodchem.202
2.135303
Imdaad, B.M., Jayalath , S. I., and Mahiepala, P. C. G..
2023.. RFID-Based Fruit Monitoring and Orchard
Management System. TechRxiv. DOI:
10.36227/techrxiv. 24243718.v1
Iorliam, A., Bum, S., Aondoakaa, S. I., Iorliam I. B, &
Shehu, Y. I. 2022. Machine Learning Techniques for
the Classification of IoT-Enabled Smart Irrigation Data
for Agricultural Purposes. GU J Sci, Part A, 9(4), 378-
391. https://doi.org/10.54287/gujsa.1141575
Jedermann, R., Behrens, C., Westphal, D., and Lang, W.
2006. "Applying autonomous sensor systems in
logistics—Combining sensor networks, RFIDs and
software agents". Sensors and Actuators A 132, , 370–
375.
ICEISA 2024 - International Conference on ‘Emerging Innovations for Sustainable Agriculture: Leveraging the potential of Digital
Innovations by the Farmers, Agri-tech Startups and Agribusiness Enterprises in Agricu
222
Kavya, V. 2012. Development of RFID Technology for
Monitoring the Ripening of Bananas. Thesis, Central
Food Technological Research Institute (CFTRI),
Mysore. http://ir.cftri.res.in/id/eprint/10900
Kavya Sree T., and Natarajan V. 2022. Laser labelling on
dragon fruit with different codes and their impact on
surface characteristics. The Pharma Innovation Journal
SP-11(7): 4717-4723.
https://www.thepharmajournal.com/archives/2022/vol
11issue7S/PartBC/S-11-7-619-961.pdf
Keates O. 2023. Actionable insights for horticulture supply
chains through advanced IoT analytics. Procedia
Computer Science. 217: 1631-1640.
https://doi.org/10.1016/j.procs.2022.12.363.
Lakshmi, G.S.P., Asha, P.N., Sandhya, G., Sharma, S. V.,
Shilpashree, S., Subramanya, and S.G. 2023. An
intelligent IOT sensor coupled precision irrigation
model for agriculture, Measurement:
Sensors,25.https://doi.org/10.1016/j.measen.2022.100
608.
Lamberty, A., and Kreyenschmidt, J. 2022. Ambient
Parameter Monitoring in Fresh Fruit and Vegetable
Supply Chains Using Internet of Things-Enabled
Sensor and Communication Technology. Foods,
16;11(12):1777. doi: 10.3390/foods11121777. PMID:
35741974; PMCID: PMC9222862.
Lamsal, Ritu Raj, P. Karthikeyan, Pablo Otero, and Alfonso
Ariza. 2023. "Design and Implementation of Internet of
Things (IoT) Platform Targeted for Smallholder
Farmers: From Nepal Perspective" Agriculture
13:(10):1900.
https://doi.org/10.3390/agriculture13101900
Nandhini, A., Hemalatha, R., and Radha, S. 2022.A Smart
Agriculturing IoT System for Banana Plants Disease
Detection through Inbuilt Compressed Sensing
Devices, Research Square (Pre-print)
https://doi.org/10.21203/rs.3.rs-2182006/v1
Navarro, R. C., Ana Rubio Ruiz, Felix J. Villanueva
Molina, Maria J. Santofimia Romero, Javier Dorado
Chaparro, David Villa Alises, Juan C. and Lopez
Lopez. 2022. Indoor occupancy estimation for smart
utilities: A novel approach based on depth sensors,
Building and Environment, 222.
https://doi.org/10.1016/j.buildenv.2022.109406
Negara, G. C., and Dachyar, M. 2021. Improvement
Banana Warehouse Operation using Business Process
Reengineering. In M. Fargnoli, M. Lombardi, M.
Tronci, P. Dallasega, M. M. Savino, F. Costantino, G.
Di Gravio, and R. Patriarca (Eds.) Proceedings - 4th
European Rome Conference 2021 (pp. 2132-2142).
(Proceedings of the International Conference on
Industrial Engineering and Operations Management).
IEOM Society.
Nugraheni, D., Wahyudi Sutopo, Muhammad Hisjam, and
Yusuf Priyandari. 2016. Preliminary study of benefits
and barriers-costs RFID technology implementation on
traceability system of bananain indonesia. Jurnal
Mekanikal. 39:01-10. DOI:
https://jurnalmekanikal.utm.my/index.php/jurnalmeka
nikal/article/view/7/6
Onwude, D.I., Hashim, N., Janius, R.B., Nawi, N.M. and
Abdan, K. 2016. Modeling the Thin-Layer Drying of
Fruits and Vegetables: A Review. Comprehensive
Reviews In Food Science And Food Safety, 15: 599-
618. https://doi.org/10.1111/1541-4337.12196
Rajak P., Ganguly, A. Adhikary, S., and Bhattacharya, S.
2023. Internet of Things and smart sensors in
agriculture: Scopes and challenges. Journal of
Agriculture and Food Research,,14.
https://doi.org/10.1016/j.jafr.2023.100776
Salimath, M., Nirmal Kaliannan, and Varun Prabhakar.
2023. Impact of IoT-Enabled Variable Irrigation and
Fertigation Rates on the Growth, Yield, and Economics
of Grand Nain Bananas, Research Square (Preprint)
https://doi.org/10.21203/rs.3.rs-3015203/v1
Sekaran K., Meqdad, Kumar, P., Rajan, S., and Kadry, S.
2020. Smart agriculture management system using the
Internet of Things. TELKOMNIKA
Telecommunication, Computing, Electronics and
Control. 1693-18 (3): 6930.
Silupu, J. M., Campos, J. C., Paiva, E. and Ipanaqué, W.
2021.Thrips incidence prediction in organic banana
crop with Machine learning, Heliyon,
2021.7(12):,DOI:https://doi.org/10.1016/j.heliyon.202
1.e08575.
Verma, A., Hegadi, R.S., and Sahu, K. 2015. Development
of an effective system for remote monitoring of banana
ripening process. 2015 IEEE International WIE
Conference on Electrical and Computer Engineering
(WIECON-ECE), 534-537.
Zuo, J., Jinxia Feng, Marcelo Gonçalves Gameiro, Yaling
Tian, Jing Liang, Yingying Wang, Jianhua Ding, and
Quanguo H. 2022. RFID-based sensing in smart
packaging for food applications: A review. Future
Foods,.6.https://doi.org/10.1016/j.fufo.2022.100198.
Prospects of IoT Technology for Supply Chain Traceability of GI - Tagged Nendran Bananas in Kerala: A Review
223