Technology based Streamlined Agro-Farming Techniques

Farming, all around the world is considered as one of the largest agro-sector which is set as a leading production to economic development for a country. Every person irrespective of occupation they seek, are dependent on food consumption for their survival. Scientists and researchers are trying to turn up the agricultural sector into a field that is cost-efficient, with enhanced equipment’s keeping in mind the optimum utilization of resources. Thus, technologies like Smart Farming and Internet of Things, makes it quite easy to handle and monitor with added up concepts like Machine Learning algorithms and Sensors which allow analyzing the processes to work in ease. The paper focuses on a technology based solution to be proposed for cultivation of specific (Tomato) plant using the above mentioned techniques to enhance the yielding properties by following three different approaches (as explained in Section VI).

[1]  F. Kano,et al.  A Compact EADFB Laser Array Module for a Future 100-Gb/s Ethernet Transceiver , 2011, IEEE Journal of Selected Topics in Quantum Electronics.

[2]  Amandeep,et al.  Smart farming using IOT , 2017, 2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

[3]  Jianqiu Li,et al.  A review on the key issues for lithium-ion battery management in electric vehicles , 2013 .

[4]  Monika Jhuria,et al.  Image processing for smart farming: Detection of disease and fruit grading , 2013, 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013).

[5]  Nikesh Gondchawar,et al.  IOT BASED SMART AGRICULTURE , 2021, Journal of Manufacturing Engineering.

[6]  Sudhir Rao Rupanagudi,et al.  A novel cloud computing based smart farming system for early detection of borer insects in tomatoes , 2015, 2015 International Conference on Communication, Information & Computing Technology (ICCICT).

[7]  Anuradha D. Thakare,et al.  DECISION SUPPORT SYSTEM FOR SMART FARMING WITH HYDROPONIC STYLE , 2018 .

[8]  Munagala Manoj Venkata Sai,et al.  Iot Based Smart Agriculture , 2018 .

[9]  Dina Angela,et al.  Sensor networks data acquisition and task management for decision support of smart farming , 2016, 2016 International Conference on Information Technology Systems and Innovation (ICITSI).

[10]  Michael K. Hills,et al.  Using the Raspberry Pi in IT Education , 2019, SIGITE.

[11]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[12]  Tinotenda Zwavashe,et al.  Integrating GSM and Zigbee Wireless Networks for Smart A2 farming Enterprises in Zimbabwe , 2014 .

[13]  Sung-Chan Choi,et al.  Design and implementation of a connected farm for smart farming system , 2015, 2015 IEEE SENSORS.

[14]  S. A. Nagaonkar,et al.  Design and Development of IoT and Cloud Based Smart Farming System for Optimum Water Utilization for Better Yield , 2019 .

[15]  Susilawati,et al.  Developing potential agriculture land detector for determine suitable plant using Raspberry-Pi , 2017, 2017 International Conference on Computing, Engineering, and Design (ICCED).

[16]  M M Kolapkar,et al.  Design and Development of Embedded System for Measurement of Humidity, Soil Moisture and Temperature in Polyhouse using 89E516RD Microcontroller , 2016 .