scholarly journals Managing Irrigation in Indian Agriculture Using Fuzzy Logic – A Decision Support System

2018 ◽  
Vol 7 (2.24) ◽  
pp. 321 ◽  
Author(s):  
N Suruthi ◽  
R Saranya ◽  
S Subashini ◽  
P Shanthi ◽  
A Umamakeswari
Keyword(s):  
Soil Moisture ◽  
Support System ◽  
South India ◽  
Monsoon Rainfall ◽  
Irrigation System ◽  
Time Data ◽  
Weather Information ◽  
Indian Agriculture ◽  
Single Output ◽  
Irrigation Time

Supplementation of water for irrigation in needed in south India due to uncertainty of monsoon rainfall. This paper proposes a support system to manage the irrigation system based on the information provided by humidity, temperature, soil moisture and weather information. The temperature, humidity and soil moisture data were collected by sensors. The proposed ANFIS based system consists of N inputs and a single output which determines the irrigation time needed for the crop. The experimentation is carried out using real time data collected from the region of VALLAM, located near THANJAVUR. The result helps in determining the time for irrigation which helps in increasing the yield of the crop.  

scholarly journals Implementation of a LoRaWAN Based Smart Agriculture Decision Support System for Optimum Crop Yield

2022 ◽  
Vol 14 (2) ◽  
pp. 827
Author(s):  
Jehangir Arshad ◽  
Musharraf Aziz ◽  
Asma A. Al-Huqail ◽  
Muhammad Hussnain uz Zaman ◽  
Muhammad Husnain ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Long Range ◽  
Support System ◽  
Irrigation System ◽  
Time Data ◽  
Conductivity Sensor ◽  
Accessible Information ◽  
Sensor Module

A majority of the population of developing countries is associated with agriculture directly or indirectly. The liaison of engineering technology and Sustainable Development Goals (SDGs) can build a bridge for farmers to enhance their skills regarding advancements through future generation agriculture trends. The next-generation trends include better soil preparation, intelligent irrigation systems, advanced methods of crop nutrient inspection, smart fertilizers applications, and multi-cropping practices. This work proposes a smart Decision Support System (DSS) that acquires the input parameters based on real-time monitoring to optimize the yield that realizes sustainability by improving per hectare production and lessening water seepage wastage in agribusiness. The proposed model comprises three basic units including an intelligent sensor module, smart irrigation system and controlled fertilizer module. The system has integrated sensors, cloud employing decision support layers, and networking based DSS to recommend cautions for optimum sustainable yield. The intelligent sensors module contains a temperature and humidity sensor, NPK sensor, soil moisture sensor, soil conductivity sensor, and pH sensor to transmit the statistics to the cloud over the internet via Long Range (LoRa) using Serial Peripheral Interface (SPI) communication protocol. Moreover, an android application has been developed for real-time data monitoring according to GPS location and node information (accessed remotely). Furthermore, the DSS contemplates the accessible information from sensors, past patterns, monitoring climate trends and creating cautions required for sustainable fertilizer consumption. The presented results and comparison validate the novelty of the design as it embraces smart irrigation with smart control and smart decision-making based on accurate real-time field data. It is better than existing systems as it transmits the data over the LoRa that is an open-source communication with long-range transmission ability up to several kilometres. The sensor nodes helped in advancing the yield of crops, which resulted in achieving inclusive and sustainable economic goals.

scholarly journals Design Portable Device for Irrigation System using ZigBee

2018 ◽  
Vol 216 (1) ◽  
pp. 35-48
Author(s):  
Mohammed Abdul Jabar Abdul Wahab
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Irrigation System ◽  
Outdoor Environment ◽  
Wireless Sensor ◽  
Time Data ◽  
Soil Moisture Sensors

The smart irrigation systems considered as one of the most new significant technologies in this century to control the watering system and help the plants to grow. This research is focused on the design of an irrigation system based on one of the wireless sensor network (WSN) technologies which is ZigBee technology. The proposed design has an autonomous soil moisture monitoring system with wireless sensor network and ZigBee interfacing for transmitting data from slave to master side. In addition to that, the purpose of monitoring system suggested in this work is to measure and display the ratio of water soil in real-time. Soil moisture sensors have been used in this proposed design for measuring changes in soil volumetric water and changes ration of water found in the soil was evaluated under outdoor environment conditions for two averages of watered soil (40% and 70%). The real-time data of watered soil has been collected for two different value of watering (40 and 70%) and data collected vary based on location of the sensor in soil and how much soil dried in that point. It is found that the water ratio (70%) is better than (40%) from the experimental results.

scholarly journals Construction of soil moisture and irrigation IoT monitoring system using Project Based Learning

2018 ◽  
Vol 6 (8) ◽  
pp. 99-111 ◽  
Author(s):  
Sandro Cesar SIlveira Juca ◽  
Savio Lopes Rabelo ◽  
Diego Lima Carvalho Gonçalves ◽  
Vinícius Ferreira Silva ◽  
Renata Imaculada Soares Pereira ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Embedded System ◽  
Irrigation System ◽  
Project Based Learning ◽  
Soil Monitoring ◽  
Time Control ◽  
Upper Limits ◽  
Irrigation Time ◽  
Moisture Percentage ◽  
Configuration Data

This article describes a project developed using principles of Project Based Learning (PBL) and aims to use an embedded system for soil monitoring, thus measuring soil moisture and implementing automatic irrigation, as well as, the temperature and humidity of the environment. The configuration data for irrigation time control and the lower and upper limits of soil moisture percentage can be adjusted through a PHP page, where also the monitoring of the variation of soil moisture through a graph can be done in real time. The proposed project is divided into two steps using PBL. Phase one focuses on developing a circuit with sensors capable of doing measurement of ambient parameters and soil moisture, and phase two, on developing an irrigation system to control soil moisture, both using Internet of Things (IoT) concepts.

scholarly journals Smart Irrigation System for Indian Agriculture

2021 ◽  
Vol 9 (VII) ◽  
pp. 424-431
Author(s):  
Abhay Manchanda
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Crucial Role ◽  
Irrigation System ◽  
Moisture Control ◽  
Moisture Sensor ◽  
Indian Agriculture

Technology plays a very crucial role in the field of agriculture. By the help of automation, a procedure or process can be executed without any or minimal human assistance. This project is an automation of farm irrigation and soil moisture control by Arduino using moisture sensor. This automatic irrigation system determines the moisture content (by measuring resistance) with the help of the sensor which senses the moisture content of the soil and switches the pump on automatically whenever the power is kept on. Agriculture has a long history in India, dating back to ten thousand years. It is a source of employment of many Indians and has great impact on the economy of the country.

Soil Moisture based Automatic Irrigation System to Improve Water Productivity

2020 ◽  
Vol 7 (04) ◽  
Author(s):  
PRADEEP H K ◽  
JASMA BALASANGAMESHWARA ◽  
K RAJAN ◽  
PRABHUDEV JAGADEESH
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Content ◽  
Irrigation System ◽  
Water Productivity ◽  
Vital Role ◽  
Agricultural Water Management ◽  
Water Management System ◽  
Proposed Model ◽  
Crop Growth Stage ◽  
Experimental Findings

Irrigation automation plays a vital role in agricultural water management system. An efficient automatic irrigation system is crucial to improve crop water productivity. Soil moisture based irrigation is an economical and efficient approach for automation of irrigation system. An experiment was conducted for irrigation automation based on the soil moisture content and crop growth stage. The experimental findings exhibited that, automatic irrigation system based on the proposed model triggers the water supply accurately based on the real-time soil moisture values.

scholarly journals Anthropogenic warming and intraseasonal summer monsoon variability amplify the risk of future flash droughts in India

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Vimal Mishra ◽  
Saran Aadhar ◽  
Shanti Shwarup Mahto
Keyword(s):  
Soil Moisture ◽  
Summer Monsoon ◽  
Crop Production ◽  
Monsoon Rainfall ◽  
Root Zone ◽  
Monsoon Season ◽  
Intraseasonal Variability ◽  
Positive Temperature ◽  
Groundwater Abstraction ◽  
Increased Risk

AbstractFlash droughts cause rapid depletion in root-zone soil moisture and severely affect crop health and irrigation water demands. However, their occurrence and impacts in the current and future climate in India remain unknown. Here we use observations and model simulations from the large ensemble of Community Earth System Model to quantify the risk of flash droughts in India. Root-zone soil moisture simulations conducted using Variable Infiltration Capacity model show that flash droughts predominantly occur during the summer monsoon season (June–September) and driven by the intraseasonal variability of monsoon rainfall. Positive temperature anomalies during the monsoon break rapidly deplete soil moisture, which is further exacerbated by the land-atmospheric feedback. The worst flash drought in the observed (1951–2016) climate occurred in 1979, affecting more than 40% of the country. The frequency of concurrent hot and dry extremes is projected to rise by about five-fold, causing approximately seven-fold increase in flash droughts like 1979 by the end of the 21st century. The increased risk of flash droughts in the future is attributed to intraseasonal variability of the summer monsoon rainfall and anthropogenic warming, which can have deleterious implications for crop production, irrigation demands, and groundwater abstraction in India.

scholarly journals Some Preliminary Notes on the Physical Properties of the Soils of the Ganges Valley, more especially in their relation to Soil Moisture

1906 ◽  
Vol 1 (4) ◽  
pp. 454-469 ◽  
Author(s):  
H. M. Leake
Keyword(s):  
Soil Moisture ◽  
Physical Properties ◽  
Short Duration ◽  
Irrigation Water ◽  
The Other ◽  
Indian Agriculture ◽  
Northern India ◽  
The One ◽  
The Ganges

In a stretch of arable lands like those of the Ganges Valley, although damage may be caused by occasional floods, which are sudden and of short duration, the more general, and by far the most serious loss is due to deficiency of moisture of the soil: thus the relation of the soil to soil moisture becomes of more than ordinary importance. Dr Voelcker, in his Report on Indian Agriculture, remarks: “In India the relation of soils to moisture acquires a greater significance than almost anywhere else.......” This relation is fundamental, for on it depends the methods for the conservation of soil moisture, for the economical application of irrigation water, and for the treatment of barren and salt lands—all problems of direct interest to agriculturists in the plains of Northern India. The methods for dealing with these problems must be largely—if not entirely—empirical until such time as the behaviour of the soil in its relation to moisture is investigated. The problem in all its various branches is enormous, and in a country in which the seasons follow each other with such rapidity, and vary the one from the other in so marked a manner, it frequently happens that a particular point, if not determined within a period of a few days, must await solution until the following year.

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