.png){kind=icon}
.png){kind=icon}
Return
Towards Smart Agricultural Water–Nitrogen Management: A Multi-Criteria Decision Framework for Rapeseed Production in Southwest China Using EWM-TOPSIS Model
.png){kind=icon}
OA
AI
R
Y
H
I
J
DOI：10.3390/agronomy16161542.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To address the limited synergy between integrated water–fertilizer technologies and intelligent application equipment, as well as the low water–nitrogen use efficiency in rapeseed production systems in southwestern China—which together constrain the large-scale adoption of smart fertigation equipment—this study conducted a two-season field experiment using an integrated water–fertilizer application system. The experiment included two irrigation regimes (W1: 60% ETc; W2: 100% ETc) and three nitrogen rates (F1: 220, F2: 300, F3: 360 kg N ha−1), plus a rainfed control (CK), to quantify rapeseed responses to water–nitrogen interactions under an equipment-based fertigation framework. Results showed that water–nitrogen interactions significantly regulated rapeseed physiological processes, growth, yield formation, and resource-use efficiency. Compared with CK, appropriate water and nitrogen supply markedly enhanced PSII efficiency and overall energy conversion. In particular, W2F2 increased leaf photosynthetic rate by 51.2% and 50.8% across the two seasons. Water–nitrogen coupling also improved yield components such as branch number and thousand-seed weight, thereby increasing final yield. Although nitrogen partial factor productivity declined with increasing N rates, smart fertigation improved economic returns to varying degrees. EWM-TOPSIS results indicated that W2F2 consistently achieved the highest comprehensive performance across both seasons. By balancing yield, seed quality, resource efficiency, and economic benefit, this treatment represents the optimal strategy under intelligent fertigation systems. Overall, this study provides a decision-oriented optimization framework based on crop physiological responses under smart water–fertilizer equipment, offering practical guidance for intelligent fertigation deployment in rapeseed systems in southwestern China.
Keywords:
chlorophyll fluorescence parameters
rapeseed yield
intelligent water and fertilizer equipment
comprehensive evaluation model
Journal
A
IF:
3.4
Papers:
1.7W
Citations:
5.0W
Organization
Cited Papers