Abstract
Background & Objective: This paper presents a wireless sensor network for monitoring
field parameters inside a low-cost polyhouse. The micro climate inside a polyhouse differs from that
on the outside, which provides a favorable condition for unseasonal crops.
Methods: The physical parameters associated with the polyhouse’s microclimate were monitored by
a reliable low-cost wireless sensor network, which in turn helps to take decisions for enhancing yield
quality and quantity. Sensor network development, signal conditioning, calibration of the soil temperature
measurement system and field experience of the installed system are discussed in this paper.
The field parameters for the growing period of cucumber (Cucumis sativus) inside the polyhouse are
provided in the paper.
Results & Conclusion: It showed significant variations in temperature, relative humidity and wind
speed inside the polyhouse to that of the outside. It was also observed that soil temperature, soil
moisture in mulched soil differed from that of the open condition. Enhancement of the crop yield was
found for mulched soil.
Keywords:
Field parameters, microclimate, polyhouse, sensor node, Wireless Sensor Network (WSN), Cucumis sativus.
Graphical Abstract
[2]
Singh MK. Low cost polyhouse for off-season vegetable cultivation. Rashtriya Krishi 2016; 11(1): 86-6.
[3]
Saikia J, Baruah HK, Phookan DB. Off season production of cucumber inside lowcost polyhouse. Ann Biol 2001; 17(1): 61-4.
[5]
Parvej MR, Khan MAH, Awal MA. Phenological development and production potentials of tomato under poly-house climate. J Agric Sci 2010; 5(1): 19-31.
[6]
Pandey VK, Dwivedi SK, Pandey A, Sharma HG. Low cost polyhouse technology for vegetable cultivation in Chhattisgarh Region. Plant Arch 2004; 4(2): 295-301.
[7]
Kang BS, Sidhu BS. Studies on growing off-season tomato nursery under polyhouse. Ann Agri Bio Res 2005; 10(1): 53-6.
[8]
Kanthaswamy V, Narendra S, Veeraragavathatham D, Srinivasan K, Thiruvudainambi S. Studies on growth and yield of cucumber and sprouting broccoli under polyhouse condition. South Indian Hortic 2000; 48(1/6): 47-52.
[9]
Rangan K, Vigneswaran T. An embedded systems approach to monitor greenhouse. Recent Adv Space Technol Services Climate Change 2010; 2010: 61-5.
[12]
Shukla AJ, Panchal V, Patel S. Intelligent greenhouse design based on Internet of Things (IoT). Int J Emerging Trends Electric Electron 2015; 11(2): 57-61.
[13]
Jonnala P, Sathyanarayana GSR. A wireless sensor network for polyhouse cultivation using zigbee technology. J Eng Appl Sci 2015; 10(10): 4413-8.
[14]
Bhosle S, Sonavane SS. Automated monitoring and controlling of polyhouse environment. Int J Adv Res Comput Eng Technol 2016; 5(8): 2333-8.
[22]
Ciuonzo D, Buonanno A, D’Urso M, Palmieri FAN. Distributed classification of multiple moving targets with binary wireless sensor networks. 14th International Conference on Information Fusion IEEE.
[25]
Kinney P. ZigBee technology: Wireless control that simply works Communications Design Conference.
[29]
Yadav RK, Kalita P, Choudhary H, Hussain Z, Dev B. Low-cost polyhouse technologies for higher income and nutritional security. Int J Food Sci Tech 2014; 5(3): 191-6.
[30]
Allen RG, Pereira LS, Raes D, Smith M. Crop Evapotranspiration (guidelines for computing crop water requirements) FAO Irrigation and Drainage Paper No. 56.