Optimization of irrigation scheduling using crop–water simulation, water pricing, and quantitative weather forecasts DOI Creative Commons

Hassan M. Abd El Baki,

Haruyuki Fujimaki, Ieyasu Tokumoto

et al.

Frontiers in Agronomy, Journal Year: 2024, Volume and Issue: 6

Published: Oct. 4, 2024

Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern management. In this respect, we developed a new numerical scheme optimize depth that maximizes net income over each interval. The applies volumetric water prices inspire farmers save water, it provides growers real-time estimates the growing season. To evaluate scheme, carried out field experiment for groundnut ( Arachis hypogaea L.) grown sandy Arid Land Research Center (ALRC), Tottori University, Japan. Two treatments were established compare proposed an automated system. Results showed although gave larger amount seasonal 28%, achieved 2.18 times owing 51% higher yield compared results accuracy rainfall forecast had little effect on outputs, where root mean square error (RMSE) between observed forecasted was 4.63 mm. By utilizing simulation information soil–plant–atmosphere system into would more cost-effective tool optimizing depths than systems.

Language: Английский

Effect of Different Fertigation Scheduling Methods on the Yields and Photosynthetic Parameters of Drip-Fertigated Chinese Chive (Allium tuberosum) Grown in a Horticultural Greenhouse DOI Creative Commons
Koichi Nomura,

Eriko Wada,

T. Saito

et al.

Horticulturae, Journal Year: 2024, Volume and Issue: 10(8), P. 794 - 794

Published: July 27, 2024

This study investigated the performance of four different fertigation scheduling methods in greenhouse-grown, drip-fertigated Chinese chive (Allium tuberosum) cultivation. These were based on (1) use a timer (control), (2) accumulated radiation (AR), (3) estimated evapotranspiration (ET), and (4) measured soil moisture (SM), with fertilizer application proportional to supplied water. caused considerable variations amount water (I), volumetric content (θ), bulk electrical conductivity, leading harvested fresh weight (FW). The SM-based method maintained target θ achieved highest irrigation productivity (WP; ratio FW ΣI), while ET-based led insufficient I loss. AR-based over-fertigated, but no loss was observed. Compared WP control, those SM-, ET-, varied by +1%, −14%, −57%, respectively. Different did not significantly affect leaf photosynthetic capacity, under-fertigation significant decline stomatal conductance. ET- methods, seemed have lower risk under-/over-fertigation because could be adjusted according θ.

Language: Английский

Citations

0

Optimization of irrigation scheduling using crop–water simulation, water pricing, and quantitative weather forecasts DOI Creative Commons

Hassan M. Abd El Baki,

Haruyuki Fujimaki, Ieyasu Tokumoto

et al.

Frontiers in Agronomy, Journal Year: 2024, Volume and Issue: 6

Published: Oct. 4, 2024

Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern management. In this respect, we developed a new numerical scheme optimize depth that maximizes net income over each interval. The applies volumetric water prices inspire farmers save water, it provides growers real-time estimates the growing season. To evaluate scheme, carried out field experiment for groundnut ( Arachis hypogaea L.) grown sandy Arid Land Research Center (ALRC), Tottori University, Japan. Two treatments were established compare proposed an automated system. Results showed although gave larger amount seasonal 28%, achieved 2.18 times owing 51% higher yield compared results accuracy rainfall forecast had little effect on outputs, where root mean square error (RMSE) between observed forecasted was 4.63 mm. By utilizing simulation information soil–plant–atmosphere system into would more cost-effective tool optimizing depths than systems.

Language: Английский

Citations

0