FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

AUTOMATIC FERTILIZED-IRRIGATION CONTROL AND MANAGEMENT SYSTEM
Pages: 801-805
M. A. Adegboye, L. A. Ajao, T. A. Folorunso, A. Y. Mamudu, A. S Isah


keywords: AT89C52microcontroller, DHT11 sensor, fertilized-irrigation, food production, land fertility

Abstract

As serious food insecurity persists in many parts of the world, improving productivity in agriculture in a sustainable manner is today a realistic target. Farming plays an important role in food production and economic development in Nigeria and the world as a whole. Getting high yield from farm produce depend on land fertility, soil moisture and other climatic factors. This paper aims at developing an automatic fertilized-irrigation control and management system for the improvement of soil porosity and nutrient by timely application of fertilizer and water level required for the crops growth and development. This will metabolize the soil texture, give the nutrient to the crops, build plant tissue as well as increase the rate of crop productivity. The implementation of the system has been achieved by interfacing several components and intelligence unit such as ISE sensors, DHT11 sensor, Actuator, AT89C52 microcontroller and other components to automatically apply soluble agrochemical fertilizer and water based on plant needs. The designed system is tested with tomato crop planted on sandy, loamy and clay soil, respectively. The obtained result shows that the developed system applied higher water of about 391 mm3 on the tomato crop planted on sandy soil compared with the other soil types which was 383 and 380 mm3 on loam and clay soil, respectively at the moisture content of 16%.

References

Ahmed A, Buhari U, Olaniyi OM & Adegboye MA 2016. An ionization based smoke detection and control system. J. Advancement in Engr. & Techn., 4(2): 1-5. Birrell SJ & Hummel JW 2001. Real-time multi ISFET/FIA soil analysis system with automatic sample extraction. Computers & Electronics in Agric., 32: 45-67. Essiet D 2016. Tomatoes, a vegetable consumed in most households, is scarce and very costly. Many have attributted the shortage to the Mile 12, Ketu, Lagos crisis. Some blame diseases, the high cost of transportation and insecurity in the North. The Nation. Retrieved 30th August, 2016, from http://thenationonlineng.net. Guerbaoni M, Ed-Dahhak A, Lachab A & Bouchikhi B 2013. PCbased automated drip irrigation system. Int. J. Engr. Sci &Techn., 5. Hussain R, Sahgal JL, Anshulgangwar R& Riyaj M 2013. Control of irrigation automatically by using wireless sensor network. Int. J. Soft Computing & Eng. (IJSCE), 3(1): 324-328. Jyothipriye AN & Saravanabana TP 2013. Design of embedded system for drip irrigation automation. Int. J. Engr. Sci. Invention, 2(4): 34-37. Kim HJ, Hummel JWS, Motavalli PP 2007. Simultaneous analysis of soil macronutrients using ion-selective electrodes. Soil Sci. Soc. Am. J., 71: 1867-1877. Kumar ND, Pramod S & Sravani C 2013. Intelligent irrigation system. Int. J. Agric. Sci. & Res. (IJASR), 3(3): 23-30. Lobsey C, Viscarra Rossel RA & McBratney AB 2016. Proximal soil nutrient sensing using electrochemical sensors. Australian Centre for Precision Agriculture, McMillan Building A05, The University of Sydney NSW 2006 Australia. Retrieved from https://www.researchgate.net/publication/226233158 Neelam RP & Dilip KT 2012. Micrecontroller based closed loop automatic irrigation system. Int. J. Innovative Techn. & Exploring Engr., 1(1): 4-6. NTA.ng-Breaking News (Producer) 2016. Survey Indicate Increase In Tomato Price In Lagos. [News, Oct. 10, 2016] Retrieved from www.nta.ng. Pranita AB & Dixit VV 2012. Water saving-irrigation automatic agriculture controller. Int. J. Sciencentific & Techn. Res., 1(11): 118-123. Rahali A, Guerbaui M, Elafou Y, Lachhab A & Bouchikhi B 2011. Development of a data acquisition and greenhouse control system based on GSM. Int. J. Engr. Sci. & Techn., 3(8), 297-306. Riza M, Winda A & Kasim NA 2011. Solar-based fuzzy intelligent water sprinkle system. J. Mechanics, Electrical Power, & Vehicular Techn., 2(2), 65-72. Shiraz P & Yogesha B 2014. Microcontroller based automated irrigation system. Int. J. Engr. & Sci., 3(7): 6-9. Sims BG, Hobbs P & Gupta R 2009. Policies and institutions to promote the development and commercial manufacture of conservation agriculture. Paper presented at the proceedings of the 4th world congress on conservation agriculture, February 4-7, 2009, New Delhi, India. Sowah RA, Armoo SK, Koumadi KM, Agyeman R & Fiawoo SY 2014. Design and development of an efficient and costeffective microcontroller-based irrigation control system to enhance food security. World Acad. Sci. Engr. & Techn; Int. J. Electrical, Computer, Energetic, Electronic & Communi. Engr., 8(8), 1343-1350. Umair SM & Usman R 2011. Automation of irrigation system using ANN based controller. Int. J. Electrical & Computer Sci. IJECS-IJENS, 10(02). Venkata NRG 2013. Microcontroller based automatic plant irrigation system. Int. J. Advancement in Res. & Techn., 2(4): 194-198. Viscarra Rossel RA, Thylén L, McBratney AB & Gilbertsson M 2004. Development of an on-the-go soil sensing system for determinationsof soil pH and lime requirement. Paper presented at the 7th International Conference on Precision Agriculture, Minneapolis MN, USA.

Highlights