Abstract
Smart developing is perhaps the most mainstream employments of Internet of Things (IoT) in the rustic territory and different affiliations are using this procedure around the planet. Reap Metrics is a sharp developing affiliation focused in on overly present day agronomic game plans while acquiring useful involvement with the organization of exactness water framework. Enormous landowners and little farmers should fathom the ability of IoT market for agribusiness by acquainting splendid advances with fabricate force and acceptability in their manifestations. Shrewd Farming is an arising idea that alludes to overseeing ranches utilizing current Information and Communication Technologies to expand the amount and nature of items while streamlining the human work required. Shrewd cultivating uses current data and correspondence advancements, similar to Internet of Things (IoT) enabled sensors or drones, to monitor the condition of agriculture as well as critical environmental factors, like moisture levels. Smart agriculture applications boast improved operational efficiency and allow farmers to quickly respond to if conditions threaten their yield. Smart farming can include conditions like hotness, moisture, precipitation, and soil quality. In this paper we describe the challenges and applications of smart farming for agriculture growth.
Access provided by Autonomous University of Puebla. Download conference paper PDF
Similar content being viewed by others
Keywords
1 Introduction
For the monetary advancement of any country farming play a significant segment. Various work chances are created for the people. By using Internet of things (IoT) farmers can use real-time IoT information to improve enhance surroundings for their grounds, respond to environmentally friendly modifications, and rapidly recognize pests or disease before it can damage their harvest. Farmers can use available Web of things (IoT) innovation and can utilize sensors for soil, water, light, mugginess, temperature the board and programming for that target explicit homestead types or use case freethinker stages [1, 2]. For network ranchers can utilize cell, Lora and for area they can utilize GPS, Satellite.
Internet of Things (IoT) formed isolated recognizing consumes devices located alongside the farms like climate locations for assembly statistics which is communicated to systematic device for examination. Sensors are policies complex to abnormalities. Agriculturalists can display the harvests from systematic control panel and takings action based on perceptions [3, 4]. Agriculture implements Internet of Things (IoT) finished use of automatons, drones, sensors and processer imaging combined with logical implements for receiving perceptions and observer the farmsteads. For monitoring crop (Fig. 1) using sensors, sensors positioned beside the farmsteads observer the harvests for modifications in bright, moisture, hotness, form and scope. Any incongruity is noticed by the devices is examined and agriculturalist is informed. Therefore, isolated recognizing can benefit prevent the extent of illnesses and retain a judgement on the development of harvests. IoT founded Shrewd Agriculture improves the complete Cultivation outline by perceiving the ground progressively [5]. With the help of sensors and interconnectivity, the Internet of Things in Agriculture has saved the hour of the farmers just as diminished the rich usage of resources, for instance, Water and Electricity. It keeps various parts like dampness, temperature, soil, etc. under check and gives a totally clear continuous insight. Exactness Farming makes farmers make data with the help of sensors and dismember that information to take insightful and quick decisions. There are different precision developing techniques like water framework the heads, creatures the board, vehicle following and much more which accept a crucial part in extending the capability and adequacy. With the assistance of Precision cultivating, you can dissect soil conditions and other related boundaries to expand the operational productivity. Not simply this you can similarly distinguish the ceaseless working conditions of the related devices to perceive water and supplement level. Keen Farming is a welcome tech and fruitful plan of doing agribusiness and creating food in an efficient way. It is a utilization of realizing related contraptions and imaginative headways together into cultivating. Clever Farming fundamentally depends upon IoT in this manner discarding the need of genuine work of farmers and cultivators and thusly extending the proficiency in each possible way [6, 7]. With the continuous cultivating designs subject to agribusiness, Internet of Things has brought colossal focal points like powerful use of water, progression of information sources and some more. What made differentiation were the titanic favorable circumstances and which has gotten an adjusted cultivating in the continuous days.
2 Smart Farming Using IOT
IoT based Smart Farming improves the entire Agriculture structure by noticing the field logically. With the help of sensors and interconnectivity, the Internet of Things in Agriculture has saved the hour of the farmers just as diminished the rich usage of resources, for instance, Water and Electricity [8, 9]. It keeps various segments like moisture, temperature, soil, etc. under check and gives a totally clear progressing discernment. Precision Farming makes farmers make data with the help of sensors and analyze that information to take savvy and quick decisions. There are different precision developing techniques like water framework the chiefs, creatures the board, vehicle following and much more which expect a major part in extending the capability and sufficiency. With the help of precision developing, you can analyze soil conditions and other related limits to grow the operational efficiency. Not simply this you can in like manner distinguish the ceaseless working conditions of the related devices to perceive water and supplement level. Clever Farming is a welcome tech and effective course of action of doing agribusiness and creating food in a conservative way. It is a utilization of completing related devices and creative progressions together into cultivating. Astute Farming fundamentally depends upon IoT in this manner discarding the need of real work of farmers and cultivators and thusly growing the productivity in each possible manner. With the continuous cultivating designs subject to agribusiness, Internet of Things has brought tremendous preferences like successful usage of water, headway of information sources and some more. What made differentiation were the monster preferences and which has gotten a changed cultivating in the progressing days [10, 11] (Fig. 2).
IoT sensors introduced on a specific good way from one another permit ranchers to screen everything from crops development to cows reproducing [12, 13]. It assists ranchers with improving horticultural cycles and do their business all the more productively. Mammoth proprietors and slight landowner’s necessity understand the competence of Internet of Things (IoT) market for cultivation by familiarizing savvy advancements to build seriousness and supportability in their formations. Brilliant cultivating innovation can help:
-
1.
Easy assortment and the executives of information from your IoT gadgets to screen shifted parts of cultivating, for example, dampness levels, climate conditions, crop development qualities, and so forth.
-
2.
Precise experiences and proposals that empower ranchers to envision information and screen their homesteads progressively, settling on more educated choices.
-
3.
Comprehensive enormous information bits of knowledge, examination and customized proposals help in better dynamic for brilliant agribusiness and keen cultivating [14].
Farmers have quite recently begun using some imaginative developing systems and advances to improve the capability of their ordinary work. For example, sensors set in fields grant farmers to get point by point aides of both the geology and resources in the zone, similarly as elements, for instance, acridity and temperature of the soil. Farmers can use their PDAs to remotely screen their stuff, yields, and trained animals, similarly as get subtleties on their animals dealing with and produce [15, 16]. They can even use this advancement to run quantifiable figures for their harvests and creatures. Horticulture actualizes IoT through utilization of robots, robots, sensors and PC imaging incorporated with explanatory instruments for getting experiences and screen the ranches. Situation of actual hardware on the ranches screens and records information which is utilized to get experiences. Savvy Farming is centered around the utilization of information obtained through different sources (recorded, geological and instrumental) in the administration of homestead exercises. Innovatively progressed doesn't basically imply that it is a savvy framework. Shrewd frameworks separate themselves through their capacity to record the information and bode well out of it. Brilliant Farming spotlights on use of obtained information and consolidating it from different information sources to show the master plan to deal with all the exercises of the homestead. Keen cultivating is a major jump from conventional cultivating as it carries sureness and consistency to table [17, 18].
3 Farming Management Using IOT
Since agriculture is the backbone of any country, it is necessary to ensure its sustainable growth over the years. Shrewd Undeveloped is an impression of agricultural organization consuming contemporary Info and Announcement Expertise to upsurge the number and superiority of goods. The perception of associated shrewd machineries and instruments incorporated on farmhouses to variety unindustrialized developments data-driven and data-permitted [19]. Amongst the machineries existing for contemporary agriculturalists there are
-
1.
Sensing advancements, including soil checking, water, light, dampness, temperature the executives.
-
2.
Software applications—particular programming arrangements that target explicit ranch types.
-
3.
Communication innovations, for example, cell Correspondence.
-
4.
Positioning innovations, including GPS.
-
5.
Equipment and programming frameworks that empower Internet of Things-Based arrangements, mechanical technology and computerization; and Data examination that underlies the dynamic and forecast measures [20].
4 IOT Technologies for Smart Farming
Adroit developing subject to Internet of Things (IoT) progressions engages cultivators and farmers to decrease waste and overhaul productivity going from the measure of manure used to the amount of trips the property vehicles have made, and enabling capable utilization of resources, for instance, water, power, etc. Internet of Things sharp developing plans is a structure that is worked for checking the yield field with the help of sensors (light, tenacity, temperature, soil clamminess, crop prosperity, etc.) and automating the water framework system. The farmers can screen the field conditions from wherever. They can moreover pick among manual and automated options for taking essential actions reliant on this data. In this procedure of property the heads, a key part are sensors, control systems, progressed mechanics, self-administering vehicles, motorized hardware, variable rate development, development finders, button camera, and wearable gadgets [21, 22]. This data can be used to follow the state of the business when in doubt similarly as staff execution, equipment efficiency. The capacity to anticipate the yield of creation permits to get ready for better item circulation. Various detecting innovations are utilized in accuracy horticulture, giving information that assists ranchers with observing and enhance crops, just as adjust to changing natural elements including. In this paper, we propose a proficient answer for various information assortment undertakings exploiting edge computing-enabled wireless sensor networks in smart agriculture [23] (Table 1).
Numerous cell phone applications have started to fuse Internet of Things (IoT) standards, information collection, furthermore, convenient getting ready to raise to-date, huge information to little farmers regarding developing, weeding, treating, and watering. These applications gather data from handheld sensors, far off sensors, and atmosphere stations, making all around assessments and critical recommendations [24, 25]. A couple of uses have been developed unequivocally centering for the little extension farmer:
-
1.
Illness Detection and Diagnosis: Photos taken of suspect plants can be shipped off experts for assessment.
-
2.
Fertilizer Calculator: Dust devices and greenery quality canister numeral obtainable come again complements are compulsory.
-
3.
Soil Study: Capturing soil pictures, similarly as pH and substance data from sensors, licenses farmers to screen and adapt to changing soil conditions.
-
4.
Water Study: Determining Leaf Area Index from photos and wonder logging can help farmers with choosing water needs [26].
-
5.
Crop Harvest Readiness: Camera photographs with UV and white lights precisely foresee readiness [27, 28].
5 Conclusion
This paper describes the challenges and applications of smart farming for agriculture growth. The improvement of new strategies for improving harvest yield and dealing with, one can promptly see as of now: novelty discouraged, imaginative more youthful individuals getting humanizing as a vocation, agriculture as a approaches for autonomy from non-renewable liveliness foundations, following the crop growth, safety and nourishment pattern, organizations among growers, benefactors, and vendors and customers. This paper thought about every one of these perspectives and featured the part of different advancements, particularly Internet of Things, to make the horticulture more brilliant and more productive to meet future assumptions. This paper has assisted to bung up available the opening in among production, quality and quantity. Data Ingested by collecting & importing the information from numerous sensors for physical spell use.
References
Li Z, Wang J, Higgs R, Zhou L, Yuan W (2017) Design of an intelligent management system for agricultural greenhouses based on the internet of things. In: IEEE international conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC)
Xie Y, Wang D (2014) An item-level access control framework for inter-system security in the internet of things. Appl Mechan Mater 1430–1432
Koblitz N (1987) Elliptic curve cryptosystems. Math Comput 48:203–209
Vignesh R, Samydurai A (2017) Security on internet of things (IOT) with challenges and countermeasures in 2017. IJEDR 5(1). ISSN: 2321-9939
Lee JY, Lin WC, Huang YH (2014) A lightweight authentication protocol for internet of things. In: Int’l symposium on next-generation electronics (ISNE), pp 1–2
Anggorojati B, Mahalle PN, Prasad NR, Prasad R (2012) Capability-based access controldelegation model on the federated IoT network. In: Int’l symposium on wireless personal multimedia communications (WPMC), pp 604–608
Castrucci M, Neri A, Caldeira F, Aubert J, Khadraoui D, Aubigny M et al (2012) Design and implementation of a mediation system enabling secure communication among critical infrastructures. Int’l J Crit Infrastruct Protect 5:86–97
Neisse R, Steri G, Baldini G (2014) Enforcement of security policy rules for the internet ofthings. In: Int’l conference on wireless and mobile computing, networking and communications (WiMob), pp 165–172
Razzaq MA, Qureshi MA (2017) Security issues in the internet of things (IoT): a comprehensive study by (IJACSA). Int J Adv Comput Sci Appl 8(6)
Kumar JS, Patel DR (2014) A survey on internet of things: security and privacy issues. Int J Comput Appl 90(11)
Abomhara M, Køien GM (2014) Security and privacy in the internet of things: current status and open issues. In: International conference on Privacy and security in mobile systems (PRISMS). IEEE, pp 1–8
Chen S, Xu H, Liu D, Hu B, Wang H (2014) A vision of IoT: applications, challenges, and opportunities with China perspective. IEEE Internet of Things J 1(4):349–359
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805
Hossain MM, Fotouhi M, Hasan R (2015) Towards an analysis of security issues, challenges,and open problems in the internet of things. In: 2015 IEEE world congress on services (SERVICES). IEEE, pp 21–28
Da Xu L, He W, Li S (2014) Internet of things in industries: a survey. IEEE Trans Industr Inf 10(4):2233–2243
Tarouco LMR, Bertholdo LM, Granville LZ, Arbiza LMR, Carbone F, Marotta M, de Santanna JJC (2012) Internet of things in healthcare: interoperability and security issues. In: IEEE international conference on communications (ICC). IEEE, pp 6121–6125
Mohan (2014) Cyber security for personal medical devices internet of things. In: 2014 IEEE international conference on distributed computing in sensor systems (DCOSS). IEEE, pp 372–374
Abomhara M, Køien GM, Cyber security and the internet of things: vulnerabilities, threats, intruders and attacks
De S, Barnaghi P, Bauer M, Meissner S (2011) Service modelling for the internet of things. In: 2011 federated conference on computer science and information systems (FedCSIS). IEEE,pp 949–955
Xiao G, Guo J, Xu L, Gong Z (2014) User interoperability with heterogeneous IoT devices through transformation
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Fut Gener Comput Syst 29(7):1645–1660
Zorzi M, Gluhak A, Lange S, Bassi A (2010) From today’s intranet of things to a future internet of things: a wireless-and mobility-related view. IEEE Wirel Commun 17(6):44–51
Hongsong C, Zhongchuan F, Dongyan Z (2011) Security and trust research in m2m system. In: 2011 IEEE international conference on vehicular electronics and safety (ICVES). IEEE, pp 286–290
Cha YS, Schmidt AU, Leicher A, Meyerstein MV (2009) Trust in m2 communication. IEEE Veh Technol Mag 4(3):69–75
Singh D, Tripathi G, Jara AJ (2014) A survey of internet-of-things: future vision, architecture, challenges, and services. In: Proceedings of IEEE world forum on internet of things, At Seoul, pp 287–292. https://doi.org/10.1109/WF-IoT.2014.6803174
Lavanya M, Srinivasan S (2018) A survey on agriculture and greenhouse monitoring using IOT and WSN. Int J Eng Technol 7:673. https://doi.org/10.14419/ijet.v7i2.33.15473
Basnet B, Bang J (2018) The state-of-the-art of knowledge-intensive agriculture: a review on applied sensing systems and data analytics. J Sens 2018:1–13. https://doi.org/10.1155/2018/3528296
Dan L, Xin C, Chongwei H, Liangliang J (2015) Intelligent agriculture greenhouse environment monitoring system based on IOT technology. In: International conference on intelligent transportation, big data and smart city, Halong Bay
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yalawar, M.S., Saini, R.K., Vijaya Babu, K., Kumar, S. (2022). Smart Farming Using Internet of Things (IoT) Technologies. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_12
Download citation
DOI: https://doi.org/10.1007/978-981-16-7985-8_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7984-1
Online ISBN: 978-981-16-7985-8
eBook Packages: EngineeringEngineering (R0)