Smart Agriculture Using IoT

Authors

  • Ashok Kumar SOA, Sanskriti University, Mathura, Uttar Pradesh, India Author

DOI:

https://doi.org/10.55524/

Keywords:

Agriculture, IoT, Smart Agriculture, Sensor, Soil

Abstract

 The Internet of Things (IOT) is  transforming agricultural by incorporating farmers in a  variety of approaches to tackle challenges in the field,  like as precise and conservatism farming. Harvest web  surveillance includes weeds region, fluid levels, insect  recognition, and mammal disturbance in the field, as well  as change development and culture. IoT stands for  Internet of Things, and it is a rapidly growing technology  in all areas of automation. Actual time weather  observation is the most important for agriculture, since it  may address many agricultural-related problems. Water is  a valuable and essential resource in the globe. As a result,  we must use water only when it is required and avoid  wasting it; this conserves water. In the agricultural sector,  sensors are used to perform smart agriculture. This sensor  helped in the monitoring of the agricultural environment  and the collection of data on the land fields. This system  uses wireless sensor technologies to monitor crops. We  can check real-time data like as water level, soil moisture,  temperature, and moisture using the sensors. 

Downloads

Download data is not yet available.

References

Patil KA, Kale NR. A model for smart agriculture using IoT. In: Proceedings - International Conference on Global Trends in Signal Processing, Information Computing and Communication, ICGTSPICC 2016. 2017.

sundar S shya., Balan B. Sensor Based Smart Agriculture Using IOT . Int J MC Sq Sci Res. 2017; [3] Kishor Kumar R, Kajjidoni MB, Pradeep Kumar MS. Smart Agriculture System Using IoT. In 2017. [4] Ray PP. Internet of things for smart agriculture: Technologies, practices and future direction. J Ambient Intell Smart Environ. 2017;

Sain G, Loboguerrero AM, Corner-Dolloff C, Lizarazo M, Nowak A, Martínez-Barón D, et al. Costs and benefits of climate-smart agriculture: The case of the Dry Corridor in Guatemala. Agric Syst. 2017;

Scherr SJ, Shames S, Friedman R. From climate

smart agriculture to climate-smart landscapes. Agriculture and Food Security. 2012.

Brandt P, Kvakić M, Butterbach-Bahl K, Rufino MC. How to target climate-smart agriculture? Concept and application of the consensus-driven decision support framework “targetCSA.” Agric Syst. 2017;

Andrieu N, Sogoba B, Zougmore R, Howland F, Samake O, Bonilla-Findji O, et al. Prioritizing investments for climate-smart agriculture: Lessons learned from Mali. Agric Syst. 2017;

Saj S, Torquebiau E, Hainzelin E, Pages J, Maraux F. The way forward: An agroecological perspective for Climate-Smart Agriculture. Agric Ecosyst Environ. 2017;

Cham CL, Samad Z Bin. Brushless DC motor electromagnetic torque estimation with single-phase current sensing. J Electr Eng Technol. 2014;

Downloads

Published

2021-11-30

How to Cite

Smart Agriculture Using IoT . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(6), 188–191. https://doi.org/10.55524/