FUZZY MODELING OF SALINITY EFFECTS ON RADISH YIELD UNDER REUSE WATER IRRIGATION

Putti, Fernando F.; Cremasco, Camila P.; Silva Junior, Josué F.; Gabriel Filho, Luís R. A.

doi:10.1590/1809-4430-Eng.Agric.v42n1e215144/2022

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Scientific Paper • Eng. agríc. (Online) 42 (1) • Jan-Feb 2022 • https://doi.org/10.1590/1809-4430-Eng.Agric.v42n1e215144/2022 copy

FUZZY MODELING OF SALINITY EFFECTS ON RADISH YIELD UNDER REUSE WATER IRRIGATION

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

The increase of water usage for food production in recent years has triggered researches on ways to optimize the use of water and to reuse saline water. The present study analyzes the effects of reused saline water in the irrigation of radish culture and the construction of a fuzzy logical mathematic model so that producers may evaluate their production. The experiment, measuring the development of radish bulb at five saline water levels, was developed in a greenhouse in the Botucatu, Campus of the São Paulo State University (UNESP), Botucatu/SP, Brazil. Results showed that salinity caused reduction in fresh and dry matter of the bulb and affected ratings throughout the culture cycle. From the developed fuzzy model, it was possible to verify that the fuzzy modeling helps in the analysis of the experimental data and makes it possible to perform simulations capable of inferring points that were not experimentally determined.

KEYWORDS
artificial intelligence; saline water; optimization

Input Variable	Fuzzy set	Delimitators
Days after transplanting	DAT14	[7 14 21]
	DAT21	[14 21 28]
	DAT28	[21 28 35]
Salinity	Very Low (VL)	[-1.25 0 1.25]
	Low (L)	[0 1.25 2.5]
	Medium (M)	[1.25 2.5 3.75]
	High (H)	[2.5 3.75 5]
	Very High (VH)	[3.75 5 6.25]

Fuzzy set	Type	Delimitators
Very Low (VL)	Triangular	[Minimum – Q1, Minimum, Q1]
Low (L)	Triangular	[ Minimum, Q1, Q2]
Medium (M)	Triangular	[ Q1, Q2, Q3]
High (H)	Triangular	[ Q2, Q3, Maximum]
Very High (VH)	Triangular	[ Q3, Maximum, 2.Maximum -Q3)]

Salinity (d Sm^-1)	DAT
	Bulb diameter (mm)			Bulb length (mm)			Bulb dry matter (g)			Bulb fresh mass (g)
	14	21	28	14	21	28	14	21	28	14	21	28
0	2.4a	14.2a	35.7a	20.7a	29.5a	44.6a	0.10a	3.4a	32.0a	0.01a	0.19a	1.71a
1.25	2.5a	12.5a	26.7a	17.3ab	21.0a	46.6a	0.12a	4.0a	26.3ab	0.01a	0.14a	0.83b
2.5	2.9a	14.0a	29.0a	18.8ab	23.6a	47.9a	0.10a	3.7a	17.5b	0.01a	0.18a	1.10ab
3.75	2.6a	16.9a	32.5a	19.3ab	24.5a	47.9a	0.12a	4.6a	26.4ab	0.01a	0.15a	1.51a
5	2.6a	16.0a	34.9a	14.7b	29.4a	45.5a	0.12a	3.2a	30.1ab	0.01a	0.23a	1.67a

Input variables				Output variables
Salinity (dS m^-1)		Days after transplanting		Bulb diameter (mm)		Bulb height (mm)		Bulb fresh weight (g)		Bulb dry weight (g)
0	VL	14	DAT14	2.4	VL	20.7	L	0.1	VL	0.01	L
1.25	L	14	DAT14	2.5	L	17.3	L	0.12	L	0.01	L
2.5	M	14	DAT14	2.9	L	18.8	L	0.1	VL	0.01	L
3.75	H	14	DAT14	2.6	L	19.3	L	0.12	L	0.01	L
5	VH	14	DAT14	2.6	L	14.7	VL	0.12	L	0.01	L
0	VL	21	DAT21	14.2	M	29.5	M	3.4	M	0.19	M
1.25	L	21	DAT21	12.5	M	21	L	4	M	0.14	M
2.5	M	21	DAT21	14	M	23.6	M	3.7	M	0.18	M
3.75	H	21	DAT21	16.9	M	24.5	M	4.6	M	0.15	M
5	VH	21	DAT21	16	M	29.4	M	3.2	M	0.23	M
0	VL	28	DAT28	35.7	VH	44.6	H	32	VH	1.71	VH
1.25	L	28	DAT28	26.7	H	46.6	H	26.3	H	0.83	H
2.5	M	28	DAT28	29	H	47.9	VH	17.5	H	1.1	H
3.75	H	28	DAT28	32.5	VH	47.9	VH	26.4	H	1.51	VH
5	VH	28	DAT28	34.9	VH	45.5	H	30.1	VH	1.67	VH

Associação Brasileira de Engenharia Agrícola SBEA - Associação Brasileira de Engenharia Agrícola, Departamento de Engenharia e Ciências Exatas FCAV/UNESP, Prof. Paulo Donato Castellane, km 5, 14884.900 | Jaboticabal - SP, Tel./Fax: +55 16 3209 7619 - Jaboticabal - SP - Brazil
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[1] *Corresponding author. São Paulo State University (UNESP)/ Tupã - SP, Brazil. E-mail: gabriel.filho@unesp.br