An Application of IoT to revolutionize Agro Sector

In this paper, an IoT based automated water irrigation system is proposed. This system is used to increase the production rate of agriculture based on the internet of things (IoT) and cloud computing. Sensor technology has been developed and various kinds of sensor such as humidity, temperature, soil moisture sensor, and pH sensors are used to collect information about the condition of the soil. By using the advanced technologies, the farmers get benefitted for better production in agriculture. Keywords: Sprinkling, Smart Sensor Pouch, MSP 430, RS 485 Port, IoT, Cloud Computing

PV Based Automatic Irrigation System

In Because of the lack of rains and scarcity of land reservoir water, proper irrigation methods are critical in the field of agriculture. The continuous extraction of water from the earth is lowering the water level, causing a lot of land to slowly come into the unirrigated zones. Another important reason for this is because of unplanned water use, which wastes a significant amount of water. This automatic plant irrigation system is used for this purpose. Solar energy is used to power the system via photovoltaic cells. As a result, there is no need to rely on erratic commercial power. In this digital age, we demand that everything around us be automated, reducing human effort. Electronic circuits are becoming more prevalent, making life easier and simpler in today's world. Energy and water scarcity are two major issues that everyone is dealing with these days. As a result, energy and water conservation are required. The goal is to create a solar-powered prototype that will automatically irrigate the field. Consider how convenient it will be to be able to focus on your next task while your field is being irrigated automatically and at a low cost. No worries about underirrigation or over-irrigation, water waste or expensive electricity, or your busy schedule. Keywords: Arduino Uno-Soil Moisture Sensor Submersible Water Pump - Single Channel Relay - Solar Panel - LCD Display - Buzzer - IDE

Development and Performance Evaluation of a Soil Moisture Sensor

This study was aimed at developing a soil moisture sensor to effectively monitor moisture level for optimum crop growth. The sensor was made using a programmed Arduino microcontroller. It is attached to a sensing panel with two probes made of nickel that measures the volumetric content of water in soil. The probes were non-corrosive and robust material suitable for use in wet surfaces. The developed sensor was tested and evaluated. The two legged Lead (probes) goes into the soil where water content was to be measured by passing current through the soil, and then reads the resistance to get the moisture level. Nine different soil classification samples (Sandy Clay, Fine Sandy Loam, Sandy Loam, Salty Loam, Loamy Sand, Coarse Sand, Fine Sand, Sandy Clay Loam and clay soils) at different depths (3, 6, 9, 12 and 14.3 cm) were used to analyse the moisture meter at three different portion of each soil sample. Results obtained indicates that there was a progressive increase in moisture levels the more the sensor was being dipped into the soil. Results obtained also shows that all the nine soil samples but one (Silt Loam Soil Sample) analysed were within acceptable range of accuracy (0.1 - 5.0 %). The moisture sensor whose cost was approximately #22,300:00 was found to be effective, high precision at less efforts and a suitable guide for farmer for determining soil moisture levels.Keywords- Moisture, Probe, Sensor, Soil Classification

Agrotech: Advanced Field Control

Agriculture in most countries is largely dependent on the environmental conditions and climate. Real-time remote monitoring of field conditions allows for early detection of unfavorable conditions developing in the field that is generally a laborious task taken up by the farmers themselves. Additionally, with the rapid shift in climatic conditions and issues pertaining to global warming, the rainfall dependent agricultural yield is promptly affected. In this paper, we present a wireless system using nRF24L01 RF modules to monitor the farm environment conditions and operate the final control element aimed at implementing drip irrigation. The proposed system is designed to be economical and having a capacity for further expansion, allowing the widespread devices across the farm to be controlled. The soil sogginess level is measured by a self-made soil moisture sensor. A ball valve is actuated based on the levels of soil moisture, temperature and humidity checked against a set of predefined levels. The collected data is then pushed onto a cloud platform for future study or use. Keywords: Wireless sensor network, real-time monitoring, nRF24L01 RF module, highly economical and efficient system

Automated Irrigation and Fertigation System Applying Sensing Technology

Internet of Things (IoT) is the most discussed topic nowadays and it finds many applications in various industries. The development of efficient agricultural systems has become essential to address the challenges of feeding the enormous and ever-increasing population around the globe. One way of dealing with this is to expand agricultural production standard and quantity. An integrated IoT system with irrigation and finishing on the market was missing. To increase production efficiency, farmers shall collect massive data from various devices. The system's effectiveness depends on the performance of the sensor under various climate changes. The network and a closed-loop feedback system need to be connected to the system for maximum operational capacity. The module of the Soil Moisture Sensor and the MCU ESP8266 V2 MCU Node, the float switch and the 5V Optocoupler relay module are used in this project. The remote control of the system is a mobile application. If the moisture level in the soil reaches the desired value, it will stop water supply. The project could be expended on a larger scale in the future and the system may also be developed with solar energy rather than batteries.

Effect of Automated Drip Irrigation System on Yield and Water Use Efficiency of Tomato (Solanum lycopersicum L.)

Field experiment was conducted to evaluate the performance of different automated drip irrigation on tomato crop under sandy clay loam soil in Tamil Nadu Agricultural University during kharif 2019 and kharif 2020. Five treatments comprising 4 different automated drip irrigation systems are time based drip irrigation, volume based drip irrigation, soil moisture sensor based irrigation, switching tensiometer based irrigation and one is conventional method of irrigation were tested. The results revealed that tensiometer based drip irrigation recorded higher fruit yield of 95.11 and 96.21 t ha-1 and water use efficiency of 21.10 and 25.42 t ha-mm-1 resulting in increment over conventional method of irrigation. However, the above treatment was followed by soil moisture sensor based drip irrigation in tomato. Tensiometer based drip irrigation helps to save the water up to 54.91 and 60.55 % compared to conventional method of irrigation during kharif 2019 and 2020.

Design of Monitoring Device for the Process of Organic Waste Decomposition into Compost Fertilizer and Plant Growth through Smartphones based on Internet of Things Smart Farming

Based on data published by the Ministry of Living Environment and Forestry in 2020, Indonesia produces at least 93,200 tons of waste per day in various types of composition or around 34 million tons of waste per year. From the collection of waste, it could be used as compost fertilizer which is taken from leaf waste. From these problems, a device was designed that could monitor the decomposition process of organic waste into compost fertilizer. This device is equipped with a temperature sensor, humidity sensor, sensor of soil pH, soil moisture sensor, and color sensor to monitor the composting fertilizer process. The device could also detect plant growth as an indication that the compost fertilizer made is in good condition. Our device was used on the Internet of Things (IoT) and the blynk application as a monitoring application. From the test results, the temperature sensor's accuracy is 98.2%, the humidity sensor is 96.1%, the soil pH sensor is 95.26%, the soil moisture sensor is 98.55%, and the color sensor successfully detects the results of plant growth well. The design of this device is expected to invite the public to be wiser in sorting waste and using it for the surrounding environment.