Digital Technology for Farmers through CCMM System
DOI:
https://doi.org/10.61841/1vep9q48Keywords:
Cattle Monitoring System, Crop Monitoring System, Market Segments, Agriculturist, EconomyAbstract
Agriculture is one of the major sectors in India. The agriculturist is the backbone of the sector, but he is underprivileged in India. The improvement of the farmers’ economy will increase the nation’s production and economy. Therefore, a nation's gross domestic product (GDP) also increases. To materialize this, the proposed model, Cattle and Crop Marketing Monitoring (CCCM) system, is to create awareness among farmers in using technology in farming. The proposed CCMM system can monitor the health of cattle and crops along with market segment status. The CCMM system can check the health of cattle, the moisture content of the soil, and the disease identification of plants based on images and know the market value of the crop in various areas. Farmers will benefit from regular health checking of cattle with the help of IoT devices. Avoid the loss of crop by continuous monitoring of the crop. Keep away the middleman in marketing the product. Moreover, the CCMM system will help farmers in improving production, and thereby India's GDP shall have a steady increase.
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[1] Dawkins, M. S. (2017), Animal welfare and efficient farming: Is conflict inevitable? Anim. Prod. Sci., 57 (2) (2017), pp. 201-208, 10.1071/AN15383.
[2] Yeates, J. W. (2017), How good? Ethical criteria for a ‘Good Life’ for farm animals J. Agric. Environ. Ethics, 30 (1) (2017), pp. 23-35, 10.1007/s10806-017-9650-2
[3] Balafoutis, A., Beck, B., Fountas, S., Vangeyte, J., Van Der Wal, T., Soto, I., Gómez-Barbero, M., Barnes, A., and Eory, V. (2017). Precision agriculture technologies positively contributing to GHG emissions mitigation, farm productivity, and economics. Sustainability (Switzerland), 9 (8) (2017), p. 1339.
[4] M. Busse, W. Schwerdtner, R. Siebert, A. Doernberg, A. Kuntosch, B. König, W. Bokelmann, Analysis of animal monitoring technologies in Germany from an innovation system systemperspective, Agric. Syst., 138 (2015), pp. 55-65.
[5] H. Baumüller (2017), The little we know: an exploratory literature review on the utility of mobile phone-enabled services for smallholder farmers, J. Int. Dev., 30 (2017), pp. 134-154.
[6] T. Daum, H. Buchwald, A. Gerlicher, and R. Birner (2018), Smartphone apps as a new method to collect data on smallholder farming systems in the digital age: a case study from Zambia, Comput. Electron. Agric., 153 (2018), p. 144.
[7] S.E. Eichler Inwood, V.H. Dale (2019), State of apps targeting management for sustainability of agricultural landscapes. A review Agron. Sustain. Dev., 39 (2019), p. 8.
[8] T.M. Stevens, N. Aarts, C.J.A.M. Termeer, A. Dewulf (2016), Social media as a new playing field for the governance of agro-food sustainability, Curr. Opin. Environ. Sustain., 18 (2016), pp. 99-106.
[9] R. Bramley, (2009), Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application Crop Pasture Sci., 60 (2009), pp. 197-217.
[10] M.R. Borchers, J.M. Bewley, (2015), An assessment of producer precision dairy farming technology use, prepurchase considerations, and usefulness, J. Dairy Sci., 98 (2015), pp. 4198-4205.
[11] C. Eastwood, L. Klerkx, M. Ayre, (2017a), Managing socio-ethical challenges in the development of smart
farming: from a fragmented to a comprehensive approach for responsible research and innovation, J. Agric.
Environ. Ethics (2017), 10.1007/s10806-017-9704-5.
[12] C. Eastwood, L. Klerkx, R. Nettle, (2017b), Dynamics and distribution of public and private research and
extension roles for technological innovation and diffusion: case studies of the implementation and
Adaptation of precision farming technologies, J. Rural Stud., 49 (2017), pp. 1-12.
[13] C. Eastwood, M. Ayre, R. Nettle, B. Dela Rue, (2019), Making sense in the cloud: farm advisory services
in a smart farming future, Njas - Wageningen J. Life Sci. (2019), 10.1016/j.njas.2019.04.004.
[14] D.C. Rose, J. Chilvers, (2018), Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart
Farming, Frontiers in Sustainable Food Systems (2018), p. 87.
[15] M. Shepherd, J.A. Turner, B. Small, D. Wheeler (2018), Priorities for science to overcome hurdles
thwarting the full promise of the ‘digital agriculture’ revolution, J. Sci. Food Agric. (2018),
10.1002/jsfa.9346.
[16] AIOTI, 2015. Smart Farming and Food Safety Internet of Things Applications—Challenges for Large Scale Implementations. Alliance of IoT Innovation WG06, pp. 49.
[17] Jayaraman, P.P., Yavari, A., Georgakopoulos, D., Morshed, A., Zaslavsky, A., 2016. Internet of Things platform for smart farming: experiences and lessons learnt. Sensors 16 (1884), 1–17.
[18] Verdouw, C.N., Wolfert, J., Beers, G., Sundmaeker, H., Chatzikostas, G., 2017. Fostering business and software ecosystems for large-scale uptake of IoT in food and farming.In: PA17 - The International Tri-Conference for Precision Agriculture in 2017, Hamilton, pp. 1–7.
[19] Talavera, J.M., Tobón, L.E., Gómez, J.A., Culman, M.A., Aranda, J.M., Parra, D.T., Quiroz,L.A., Hoyos, A., Garreta, L.E., 2017. Review of IoT applications in agro-industrial andenvironmental fields. Comput. Electron. Agric. 142, 283–297.
[20] Verdouw, C., Wolfert, S., Tekinerdogan, B., 2016. Internet of Things in agriculture. CAB Rev. 11 (35), 1–12.
[21] Sundmaeker, H., Verdouw, C., Wolfert, S., Freire, L.P., 2016. Internet of Food and Farm 2020. In: Vermesan, O., Friess, Peter (Eds.), Digitising the Industry. River Publishers, pp. 129–150.
[22] "India economic survey 2018: Farmers gain as agriculture mechanization speeds up, but more R&D needed". The Financial Express. 29 January 2018. Retrieved 8 January2019.
[23] http://www.economicsdiscussion.net/articles
[24] Roussey, C., Soulignac, V., Champomier, J.-C., Abt, V., Chanet, J.-P., 2019. Ontologies in Agriculture. https://liris.cnrs.fr/Documents/Liris-4759.pdf.
[25] Kaewmard, N., Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm, in: 2014 IEEE Conference on Wireless Sensors (ICWiSE), Subang, Malaysia, February 2015.
[26] Li, D., Fault Analysis System for Agricultural Machinery Based on Big Data, IEEE Access 7 (July 2019) 99136–99151.
[27] Wang, P., Introduction: Advances in IoT research and applications, Springer - Information Systems Frontiers 17 (2) (March 2015) 239–241.
[28] Dachyar, M., Knowledge growth and development: internet of things (IoT) research, 2006–2018, 5, Elsevier, Helion, August 2019, pp. 1–14.
[29] M.F. Elrawy, Intrusion detection systems for IoT-based smart environments: a survey, Springer - Journal of Cloud Computing 7 (21) (December 2018).
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