International Journal of Science and Research (IJSR) ISSN: 2319-7064 Index Copernicus Value (2016): 79.57 | Impact Factor (2018): 7.426 Volume 8 Issue 12, December 2019 www.ijsr.net Licensed Under Creative Commons Attribution CC BY Effective Crop Selection and Conservative Irrigation Using IoT Sheik Imran 1 , Nithyashree 2 , Sathyanarayan 3 1 Bapuji Institute of Engineering and Technology, Department of Information Science and Engineering, Davangere, Karnataka, India 2, 3 Bapuji institute of Engineering and Technology, Information Science and Engineering, Shamanur road, Davangere, Karnataka, India Abstract: Agriculture remains the sector which contributes the highest to India’s GDP. 60-70% of Indian population depends on agriculture. Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading. New technique concerns on crop selection based on soil parameters like Humidity, Temperature, Moisturization, Light intensity and efficient automated irrigation system. Irrigation system uses mentioned parameters calculates the amount of water to be released and displays the values using an android application. New technique uses sensors which measure the exact moisture level in the soil, its humidity, temperature and Raspberry pi board as control unit. Android application helps the farmer to obtain the information anywhere, anytime, thereby reducing water wastage and perform smart farming. Keywords: Humidity (H), Temperature (T), Moisture (M) and Intensity of light (I) in cloud 1. Introduction Soil sensing and crop guiding system has been used to assist in the growing of agricultural crops, maintenance of landscapes, and re-vegetation of distributed soils in dry areas and during periods of inadequate rainfall. In the crop production, irrigation helps in protecting plants against frost, suppressing weed growth in grain fields and preventing soil consolidation. Automated irrigation systems are also used for dust suppression. The old method used for irrigation was the use of watering cans, water channels that have to be opened and closed manually or backup sprinklers. In this case, a lot of water is wasted in this process. There is need for improvement on the existing or old forms of irrigation. An automated irrigation system needs to be developed to optimize water use for agriculture crops. The system also includes storing of Humidity (H), Temperature (T), Moisture (M) and Intensity of light (I) in cloud, these values can be used in the future and also to predict the behavior of the crop. Data stored in the cloud by continuous monitoring of moisture, humidity, temperature and Light intensity, these values helps to predict the suitable crops for the future years. At the time of summer season, adequate supply water to the farm is difficult due to unavailability of water at the right time, this project estimates how much water is need for the entire crop cycle, by knowing this sufficient amount of water can be stored when water is available. 2. Literature Survey “Drip Irrigation System using Wireless Sensor Networks” [1] by Bennis, H. Fouchal, O. Zytoune, D. Aboutajdine, The Model includes soil moisture, temperature and pressure sensors to monitor the irrigation operations. Specifically, we take into account the case where a system malfunction occurs, as when the pipes burst or the emitters block. Also, we differentiate two main traffic levels for the information is transmitted by the WSAN, and we use an adequate priority- based routing protocol to achieve high QoS performance. Simulations conducted over the NS-2 simulator show promising results in terms of delay and Packet Delivery Ratio (PDR), mainly for priority traffic. “Automated Irrigation System Using a Wireless Sensor Network and GPRS Module” [2] by Joaquín Gutiérrez, Juan Francisco Villa-Medina, in this paper the System has a distributed wireless network of soil-moisture & temperature sensors placed in root zone of plants. Gateway unit handles sensor information, triggers actuators, and transmits data to a web application. An algorithm was developed with threshold values of sensors that was programmed into a microcontroller-based gateway to control water quantity. “Smart Drip Irrigation System using Raspberry Pi and Arduino” [3] by Gajjala Ashok, Gogada Rajasekar. Proposes a design for home automation system using ready-to-use, cost effective and energy efficient devices including raspberry pi, Arduino microcontrollers, xbee modules and relay boards. Use of these components results in overall cost effective, scalable and robust implementation of system. The sensor data were uploaded in to cloud by raspberry pi using python programming language. Arduino microcontrollers used to transmit the sensor data to the raspberry pi using ZigBee protocol. Star ZigBee topology serves as backbone for the communication between raspberry pi and end devices. Raspberry pi acts a central coordinator and end devices act as various routers. Low-cost and energy efficient drip irrigation system serves as a proof of concept. The design can be used in big agriculture fields as well as in small gardens and water plants. The use of ultrasound sensors and solenoid valves make smart drip irrigation system. “Smart Drip Irrigation System using Raspberry pi and Arduino” [4] by Nikhil Agrawal, Smita Singhal., This paper proposes a design for home automation system using ready- to-use, cost effective and energy efficient devices including raspberry pi, Arduino microcontrollers, xbee modules and relay boards. Use of these components results in overall cost effective, scalable and robust implementation of system. The Paper ID: ART20203624 DOI: 10.21275/ART20203624 1804