Improving the Conversion Efficiency of Photosynthetically Active Radiation (PAR) Absorbed by Winter Wheat Under Deficit Irrigation Using Cost-Effective Autonomous IoT Devices

Water shortage is considered the most critical issue in the regions of arid and semi-arid climate, which is affecting the growth cycle and yield of the winter wheat crop (Triticum durum Desf.). Consequently, irrigation is necessary to increase crop production and maximize water use efficiency (WUE). This study was carried out over three consecutive cropping seasons (2021-2022), (2022-2023), and (2023-2024) at the Research Unit of the National Institute of Rural Engineers, Water and Forests (INRGREF) at Cherfech. This study was aimed at examining the impact of three levels of continued deficit irrigation (D1 = 75% ETc, D2 = 60% ETc, and D3 = not irrigated only by rainfall) on leaf area index (LAI), water consumption (WC), photosynthetic active radiation absorbed (PARabs), radiation use efficiency of grain yields (RUEY), and the relationship between cumulative WC and cumulative PARabs. The cost-effective and precise autonomous Internet of Things device with artificial intelligence at the edge was utilized to monitor irrigation and crop water consumption. At harvest, a decrease in TPDM was registered in the two treatments, DI2 and DI3, by (30.2%; 29%) and (40%; 38.7%) in 2020-2021, (14.7%; 12.3%) and (32%; 30.1%) in 2022-2023, and (19.7%; 14%) and (38%; 34.1%) in 2023-2024, when contrasted with the respective DI1 and FI treatments, respectively. During the three-cropping season (2021-2024), ANOVA analysis revealed that DI and FI treatments were not significantly affected (P ˃ 0.05) by the accumulated PARabs. The cumulative PARabs in D2 and D3 were dropped to 1.7% and 4.9%, respectively, compared to FI. In the second season (2022-2023) and in the third season (2023-2024), the PARabs in D2 and D3 decreased by (4 - 4.9%) and (15.7 - 15.8%), respectively, compared with FI. The lowest GY was registered under a rainfed treatment, and it decreased from 64.5 to 68.6% in the three experiments compared to FI. The highest RUEY was registered in FI. There was a reduction in D1 and D2 in the first season of 6.6% and 51.9%, respectively, compared with FI. Under the treatment D2 at the second and third seasons, the RUEY decreased from 28.6 to 43% compared to the control treatment. Photosynthetically active radiation (PARabs) and crop water consumption (CWC) have a strong linear relationship; this relationship can be used to estimate crop water requirements as a simple measure of cumulative radiation absorbed (cereal crops).

Authors

Publication Details

Journal
Journal of Agricultural Science
Published
2025-03-15
DOI
https://doi.org/10.5539/jas.v17n4p52
Primary Topic
Greenhouse Technology and Climate Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the Conversion Efficiency of Photosynthetically Active Radiation (PAR) Absorbed by Winter Wheat Under Deficit Irrigation Using Cost-Effective Autonomous IoT Devices

Corentin Dupont, M. A. Rahim, Felix Markwordt, Mourad Rezig et al.
Journal of Agricultural Science
Greenhouse Technology and Climate Control
article

Improving the Conversion Efficiency of Photosynthetically Active Radiation (PAR) Absorbed by Winter Wheat Under Deficit Irrigation Using Cost-Effective Autonomous IoT Devices

Corentin Dupont, M. A. Rahim, Felix Markwordt, Mourad Rezig, Hedi Daghari, Mohamed Ali Ben Abdallah, Salah Belkher, Wifak Bekri, Besma Latrach, Dorra Sfayhi Terras
article en

Abstract

Water shortage is considered the most critical issue in the regions of arid and semi-arid climate, which is affecting the growth cycle and yield of the winter wheat crop (Triticum durum Desf.). Consequently, irrigation is necessary to increase crop production and maximize water use efficiency (WUE). This study was carried out over three consecutive cropping seasons (2021-2022), (2022-2023), and (2023-2024) at the Research Unit of the National Institute of Rural Engineers, Water and Forests (INRGREF) at Cherfech. This study was aimed at examining the impact of three levels of continued deficit irrigation (D1 = 75% ETc, D2 = 60% ETc, and D3 = not irrigated only by rainfall) on leaf area index (LAI), water consumption (WC), photosynthetic active radiation absorbed (PARabs), radiation use efficiency of grain yields (RUEY), and the relationship between cumulative WC and cumulative PARabs. The cost-effective and precise autonomous Internet of Things device with artificial intelligence at the edge was utilized to monitor irrigation and crop water consumption. At harvest, a decrease in TPDM was registered in the two treatments, DI2 and DI3, by (30.2%; 29%) and (40%; 38.7%) in 2020-2021, (14.7%; 12.3%) and (32%; 30.1%) in 2022-2023, and (19.7%; 14%) and (38%; 34.1%) in 2023-2024, when contrasted with the respective DI1 and FI treatments, respectively. During the three-cropping season (2021-2024), ANOVA analysis revealed that DI and FI treatments were not significantly affected (P ˃ 0.05) by the accumulated PARabs. The cumulative PARabs in D2 and D3 were dropped to 1.7% and 4.9%, respectively, compared to FI. In the second season (2022-2023) and in the third season (2023-2024), the PARabs in D2 and D3 decreased by (4 - 4.9%) and (15.7 - 15.8%), respectively, compared with FI. The lowest GY was registered under a rainfed treatment, and it decreased from 64.5 to 68.6% in the three experiments compared to FI. The highest RUEY was registered in FI. There was a reduction in D1 and D2 in the first season of 6.6% and 51.9%, respectively, compared with FI. Under the treatment D2 at the second and third seasons, the RUEY decreased from 28.6 to 43% compared to the control treatment. Photosynthetically active radiation (PARabs) and crop water consumption (CWC) have a strong linear relationship; this relationship can be used to estimate crop water requirements as a simple measure of cumulative radiation absorbed (cereal crops).

Journal of Agricultural ScienceVol. 17(4)
Openalex Percentile: Top 97%
Greenhouse Technology and Climate Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.