References
[1]. Bhole, V., & Kumar, A. (2020, October). Mango quality
grading using deep learning technique: per-spectives
from agriculture and food industry. In Proceedings of the 21st Annual Conference on In-formation Technology
Education (pp. 180-186). https://doi.org/10.1145/3368308.3415370
[2]. Burchi, G., Chessa, S., Gambineri, F., Kocian, A.,
Massa, D., Milazzo, P., ... & Ruggeri, A. (2018, May).
Information technology controlled greenhouse: A system
architecture. In 2018 IoT Vertical and Topical Summit on
Agriculture-Tuscany (IoT Tuscany) (pp. 1-6). IEEE.
https://doi.org/10.1109/IOT-TUSCANY.2018.8373044
[3]. Cox, S. (2002). Information technology: The global key
to precision agriculture and sustainability. Computers and
Electronics in Agriculture, 36(2-3), 93-111. https://doi.org/10.1016/S0168-1699(02)00095-9
[4]. Dawodi, M., Baktash, J. A., & Wada, T. (2019,
October). Data-Mining Opportunities in E-Government:
Agriculture Sector of Afghanistan. In 2019 IEEE 10th Annual
Information Technol-ogy, Electronics and Mobile
Communication Conference (IEMCON) (pp. 477-481).
IEEE. https://doi.org/10.1109/IEMCON.2019.8936193
[5]. El-Magrous, A. A., Sternhagen, J. D., Hatfield, G., &
Qiao, Q. (2019, May). Internet of things based weathersoil
sensor station for precision agriculture. In 2019 IEEE
International Conference on Electro Information
Technology (EIT) (pp. 92-97). IEEE. https://doi.org/10.1109/EIT.2019.8833811
[6]. Environment and Forest Department. (2016).
Welcome to e-Forest Mandi, Bihar. Retrieved from
https://forestonline.bihar.gov.in/eMandi/Home.aspx
[7]. Galeon, D. H., Garcia Jr, P. G., & Palaoag, T. D. (2019).
SMS-based ICT tool for knowledge sharing in agriculture.
International Journal on Advanced Science, Engineering
and Information Technology, 9(1), 342-349.
[8]. Halewood, M., Chiurugwi, T., Sackville Hamilton, R.,
Kurtz, B., Marden, E., Welch, E., ... & Powell, W. (2018).
Plant genetic resources for food and agriculture:
Opportunities and challenges emerging from the science
and information technology revolution. New Phytologist,
217(4), 1407-1419. https://doi.org/10.1111/nph.14993
[9]. Hu, Z., Xu, L., Cao, L., Liu, S., Luo, Z., Wang, J., ... &
Wang, L. (2019). Application of non-orthogonal multiple
access in wireless sensor networks for smart agriculture. IEEE Access, 7, 87582-87592. https://doi.org/10.1109/ACCESS.2019.2924917
[10]. Kamilaris, A., Fonts, A., & Prenafeta-Bold, F. X. (2019).
The rise of blockchain technology in agriculture and food
supply chains. Trends in Food Science & Technology, 91,
640-652. https://doi.org/10.1016/j.tifs.2019.07.034
[11]. Krintz, C., Wolski, R., Golubovic, N., Lampel, B.,
Kulkarni, V., Sethuramasamyraja, B., ... & Liu, B. (2016,
August). SmartFarm: Improving agriculture sustainability
using modern information tech-nology. In KDD Workshop
on Data Science for Food, Energy, and Water.
[12]. Nehra K.S., Jangra M.R., Jangra S., & Kumar R.
(2018). Role of information technology in agriculture.
Crop Improvement for Sustanibility (pp.537-555) Daya
Publishing House, New Delhi.
[13]. Niranjan, P. Y., Rajpurohit, V. S., & Malgi, R. (2019,
July). A survey on chat-bot system for agriculture domain.
In 2019 1st International Conference on Advances in
Information Technology (ICAIT) (pp. 99-103). IEEE.
https://doi.org/10.1109/ICAIT47043.2019.8987429
[14]. Parihar, S. S., Mishra, B., & Rai, D. P. (2010).
Sustainable models of information technology for
agriculture and rural development. Indian Research
Journal of Extension Education, 10(1), 20-23.
[15]. Patrício, D. I., & Rieder, R. (2018). Computer vision
and artificial intelligence in precision agriculture for grain crops: A systematic review. Computers and Electronics in
Agriculture, 153, 69-81. https://doi.org/10.1016/j.compag.2018.08.001
[16]. Patrício, D. I., & Rieder, R. (2018). Computer vision
and artificial intelligence in precision agriculture for grain
crops: A systematic review. Computers and Electronics in
Agriculture, 153, 69-81. https://doi.org/10.1016/j.compag.2018.08.001
[17]. Puri, V., Nayyar, A., & Raja, L. (2017). Agriculture
drones: A modern breakthrough in precision agriculture.
Journal of Statistics and Management Systems, 20(4),
507-518. https://doi.org/10.1080/09720510.2017.1395171
[18]. Ratnayake, M. N., Dyer, A. G., & Dorin, A. (2021).
Towards computer vision and deep learning facilitated
pollination monitoring for agriculture. In Proceedings of
the IEEE/CVF Conference on Computer Vision and
Pattern Recognition (pp. 2921-2930).
[19]. Sharma, A., Sutradhar, M., Monlai, S., & Kumari, N.
(2018). Agriculture Journalism brings employment in
India. International Journal of Current Microbiology and
Applied Sciences, 7(9), 2314-2319.
[20]. Xiong, H., Dalhaus, T., Wang, P., & Huang, J. (2020).
Blockchain technology for agriculture: ap-plications and
rationale. Frontiers in Blockchain, 3, 7. https://doi.org/10.3389/fbloc.2020.00007