Smart Agricultural Practice for India

The rapid growth of food needs due to the increasing worldwide population is raising the requirement for smart agriculture. Smart agriculture employs superior technologies such as decision support system, expert system, IoT, GPS, machine learning, robotics, and application of connected devices. Smart agriculture supports an automated farming system that includes a collection of data related to the farming area, and then analyzes the data so that the farmer can make the right decisions in order to grow high-quality products. In smart agriculture, farming-related data are collected using some unusual instruments like sensors, cameras, microcontrollers, and actuators. Then the collected data of farming areas are transferred via the internet to the farmer for decision making. This chapter is aimed to discuss critical topics for the implementation of smart agriculture in India.

[1]  Dragorad Milovanovic,et al.  Converging Technologies for the IoT: Standardization Activities and Frameworks , 2017 .

[2]  Dinesh Goyal,et al.  Big data: A review of analytics methods & techniques , 2016, 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I).

[3]  D. Sabareeswaran,et al.  A Survey on Data Mining Techniques in Agriculture , 2016 .

[4]  Dilip Kumar Chakrabarti,et al.  A brief survey of computerized expert systems for crop protection being used in India , 2008 .

[5]  Pawan D. Kale,et al.  Smart design of microcontroller based monitoring system for agriculture , 2014, 2014 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2014].

[6]  G. S. Anandha Mala,et al.  Providing Smart Agricultural solutions to farmers for better yielding using IoT , 2015, 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR).

[8]  Dinesh Goyal,et al.  Big Data Technologies: Brief Overview , 2015 .

[9]  Yukikazu Murakami iFarm: Development of Web-Based System of Cultivation and Cost Management for Agriculture , 2014, 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems.

[10]  Kavita Singh Rathore,et al.  Federation Of Cloud Computing Infrastructure , 2014 .

[11]  Vladimir Vujovic,et al.  Application of internet of things in food packaging and transportation , 2015 .

[12]  Ahmed Ben Ayed,et al.  The Blockchain Technology: Applications and Threats , 2017 .

[13]  Lata S. Handigolkar,et al.  Iot Based Smart Poultry Farming using Commodity Hardware and Software , 2016 .

[15]  N. Rao Big Data and Climate Smart Agriculture - Status and Implications for Agricultural Research and Innovation in India , 2018 .

[16]  S. Mohan,et al.  Certain investigation of precision agriculture robot using lab view , 2013, 2013 International Conference on Current Trends in Engineering and Technology (ICCTET).

[17]  Salinda Buyamin,et al.  Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation , 2018 .

[18]  Jharna Majumdar,et al.  Analysis of agriculture data using data mining techniques: application of big data , 2017, Journal of Big Data.

[19]  Anand Nayyar,et al.  Smart farming: IoT based smart sensors agriculture stick for live temperature and moisture monitoring using Arduino, cloud computing & solar technology , 2016 .

[20]  Viranjay M. Srivastava,et al.  Cloud-Based Predictive Intelligence and Its Security Model , 2019, Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing.

[21]  S. S. Sonavane,et al.  Smart Poultry Farm Monitoring Using IOT and Wireless Sensor Networks , 2016 .

[22]  Vidya Kumbhar,et al.  A Comprehensive Study of Application of Decision Support System in Agriculture in Indian Context , 2013 .

[23]  Patrick van Bommel Information modeling for internet applications , 2003 .

[24]  Kireeti Kompella Self-Driving Networks , 2019 .