Performance evaluation of gypsum block wireless sensor network system for real time irrigation scheduling

Veeranna, Jatoth; Patel, Neelam; Mishra, Ashis Ku; Varghese, Cini; Sandeep, N.

doi:10.1080/23311916.2016.1251729

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…(Table 4. and 5).This finding was in true with results obtained from the experiment conducted in Delhi to evaluate the effectiveness of tensiometer and gravimetric method, where in a good correlation was obtained between sensor reading and gravimetric moisture content after irrigation [10].…”

Section: Tensiometer Readings and Corresponding Gravimetric Moisture Content Readings Before And After Irrigationsupporting

confidence: 79%

Correlation between the Soil Moisture Reading Obtained with Soil Moisture Sensors and Gravimetric Method for Scheduling of Irrigation in Maize

Durga

Ramulu

Umadevi

et al. 2021

IJPSS

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A field experiment was conducted at Water Technology Centre farm (WTC), College of Agriculture, Rajendranagar, Hyderabad for studying the correlation between the soil moisture reading obtained with soil moisture sensors and gravimetric method. The experiment was designed in split plot with two main treatments comprising of surface furrow (M1) and drip irrigation (M2) methods and six irrigation schedules were assigned to sub treatments and replicated thrice. Significantly higher grain yield (7.05 t ha-1) of maize was observed with nano sensor (IITB) based irrigation scheduling over rest of the irrigation schedules except gypsum block. The results revealed that correlation between the tensiometer readings and gravimetric moisture content showed a negative non significant correlation before irrigation in surface furrow irrigation method and negative significant correlation for drip irrigation method. But in case of after irrigation a positive non significant correlation was observed in both drip and surface furrow irrigation methods. The gypsum block reading and gravimetric moisture content studies showed a negative significant correlation before irrigation in both surface furrow and drip irrigation methods, where as a positive non significant correlation between gypsum block readings and gravimetric moisture content readings were noticed after irrigation in both drip and surface furrow irrigation methods. Similar trend was recorded in nano sensor, except that it showed a positive significant correlation in both irrigation methods before irrigation. The correlation studies between the profile probe readings and gravimetric moisture content showed a negative significant correlation in surface furrow irrigation method at before and after irrigation, whereas, a positive significant correlation was observed after irrigation in drip irrigation method.

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Section: Tensiometer Readings and Corresponding Gravimetric Moisture Content Readings Before And After Irrigationsupporting

confidence: 79%

Correlation between the Soil Moisture Reading Obtained with Soil Moisture Sensors and Gravimetric Method for Scheduling of Irrigation in Maize

Durga

Ramulu

Umadevi

et al. 2021

IJPSS

View full text Add to dashboard Cite

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“…A soil moisture content-based automatic irrigation system for Motor Pumping and Agriculture Land Purpose was developed [24]. Based on moisture content in the soil, the pumping motor will automatically pump it into the field.…”

Section: Advancedmentioning

confidence: 99%

Review on IoT Based Precision Irrigation System in Agriculture

Kumar

Singh

Upendar

2020

CJAST

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Precise irrigation plays an essential role in agricultural production and its management. Based on current conditions and historical records, profitability in the farming sector depends on making the right and timely operational decision. For the last two decades, especially in India, climate change, groundwater depletion, and erratic variation in rainfall have affected crop production significantly. Due to advancements in technologies and reduction in size, sensors are becoming involved in almost every field of life. Agriculture is one such domain where sensors and their networks are successfully used to get numerous benefits from them. In this paper, a review of the scope of smart irrigation using IoT has been discussed. The scarcity of agricultural workers in irrigation can be compensated by the Internet of Things (IoT) platform. The various parameters, such as soil moisture, soil temperature, humidity, and pH, have been collected using the Internet of Things (IoT) platform, equipped with sensors and wireless communication systems (WSN).

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Performance analysis of capacitive soil moisture, temperature sensors and their applications at farmer’s field

Kushwaha,

Panigrahi,

Pandey

2024

Environ Monit Assess

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Performance evaluation of gypsum block wireless sensor network system for real time irrigation scheduling

Cited by 4 publications

References 33 publications

Correlation between the Soil Moisture Reading Obtained with Soil Moisture Sensors and Gravimetric Method for Scheduling of Irrigation in Maize

Correlation between the Soil Moisture Reading Obtained with Soil Moisture Sensors and Gravimetric Method for Scheduling of Irrigation in Maize

Review on IoT Based Precision Irrigation System in Agriculture

Performance analysis of capacitive soil moisture, temperature sensors and their applications at farmer’s field

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