Internet of Things Applied to Agricultural Irrigation Systems in Pasture Grasses

Author(s):  
M.P. Arrieta ◽  
Y. Alarcon ◽  
J.L. Villa
2019 ◽  
Vol 8 (2S11) ◽  
pp. 2901-2903

Indian agriculture need to be revamped due to its low productivity. Indian farmers mostly involved in age-old manual agricultural practices and irrigation systems. farming is highly unorganized and fragmented and the productivity is low, Government subsidies and other support are not sufficient to fulfill the gap. Corporates with their strong financial background can formulate a model with the government support to use smart agricultural devices and its integration with information technology. This paper presents the conceptual model to support the farmers in their agricultural practices to provide better livelihood


2021 ◽  
Vol 244 ◽  
pp. 106603
Author(s):  
Di Wu ◽  
Yuanlai Cui ◽  
Dacheng Li ◽  
Manyu Chen ◽  
Xugang Ye ◽  
...  

2019 ◽  
Vol 21 (4) ◽  
pp. 605-622 ◽  
Author(s):  
Laura J. Carter ◽  
Benny Chefetz ◽  
Ziad Abdeen ◽  
Alistair B. A. Boxall

Use of reclaimed wastewater for agricultural irrigation is seen as an attractive option to meet agricultural water demands of a growing number of countries suffering from water scarcity.


2013 ◽  
Vol 13 (6) ◽  
pp. 351-358 ◽  
Author(s):  
Young Jin Lee ◽  
Kyung Wan Kim ◽  
Doosun Kang ◽  
Young Hwa Kim

2019 ◽  
Vol 16 (8) ◽  
pp. 3183-3186
Author(s):  
A. Aiswarya ◽  
Reshmi Anantapalli ◽  
Ria Singh ◽  
S. Nandhini

Deficiency in fresh water resources globally has been a serious problem in the last decade. For overcoming this major drawback in the irrigation systems, smart soil monitoring system is implemented. The paper focuses on detection of moisture and nutrient levels present within the soil using moisture sensors and electrochemical sensors. These sensors are connected to Arduino board which controls the automatic water supply system which operates automatically based on the signal received from the Arduino board. Data received from Arduino board is displayed on a Liquid Crystal Display screen. The data collected will be stored in a cloud via an Internet of Things gateway. The system will also suggest the kinds of crops, from the list of crops stored in an Structured Query Language database, that will be best suitable for that soil based on the levels of soil moisture and nutrients detected.


Author(s):  
Diego Mateos Matilla ◽  
Álvaro Lozano Murciego ◽  
Diego M. Jiménez-Bravo ◽  
André Sales Mendes ◽  
Valderi R.Q. Leithardt

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