IRRIGATION WATER SCHEDULING OF THE DRIP SYSTEM FOR AUTOMATION AND CONSERVATION IN AGRICULTURAL CULTIVATIONAL FARMS

This work, conducted in Ozoro, Nigeria, encompassed the water schedule of the drip irrigation system for automation and conservation in agricultural cultivation farms. Corn was used in four growth stage categorization. The root zone features like the rooting depth and the soil type were used in determining the net irrigation, while other parameters like the irrigation efficiency, gross irrigation depth, evaporation, water schedule, number of irrigations, and irrigation interval were also obtained. It was found that the root zone had a shallow rooting depth of 30 cm to 60 cm, with soil types of sandy and loamy. The corn number of cultivation in days was 143 days. Net irrigation was 15 mm and 20 mm for sandy and loamy respectively. Irrigation efficiency was 90 %. Gross irrigation depth was 17 mm and 22 mm, respectively. Evaporation was 8 mm. Water scheduling was 2 and 3 days, respectively. The number of irrigation schedules was 4 and 4.4 irrigations. And, schedule irrigation interval was 20 and 18 days, respectively. Observationally, the combination of scheduling and the drip techniques in the irrigation system established a higher level of automation goals attainable in the farm land, and inturn provided more conservation than could have been achieved individually. These data are vital for decision making in agricultural farms, especially in the deployment of irrigation automation prior to automatic water timers, maintaining notable efficient irrigation, and conservation of natural resources like soil and water, and artificial resources like human labour and machines in cultivational farms.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-11
DOI
https://doi.org/10.5281/zenodo.18610537
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IRRIGATION WATER SCHEDULING OF THE DRIP SYSTEM FOR AUTOMATION AND CONSERVATION IN AGRICULTURAL CULTIVATIONAL FARMS

O.M. Akwenuke, C.G. Okeke, Okolotu G.I., B.E. Eje
Zenodo (CERN European Organization for Nuclear Research)
Irrigation Practices and Water Management
article

IRRIGATION WATER SCHEDULING OF THE DRIP SYSTEM FOR AUTOMATION AND CONSERVATION IN AGRICULTURAL CULTIVATIONAL FARMS

O.M. Akwenuke, C.G. Okeke, Okolotu G.I., B.E. Eje
article en

Abstract

This work, conducted in Ozoro, Nigeria, encompassed the water schedule of the drip irrigation system for automation and conservation in agricultural cultivation farms. Corn was used in four growth stage categorization. The root zone features like the rooting depth and the soil type were used in determining the net irrigation, while other parameters like the irrigation efficiency, gross irrigation depth, evaporation, water schedule, number of irrigations, and irrigation interval were also obtained. It was found that the root zone had a shallow rooting depth of 30 cm to 60 cm, with soil types of sandy and loamy. The corn number of cultivation in days was 143 days. Net irrigation was 15 mm and 20 mm for sandy and loamy respectively. Irrigation efficiency was 90 %. Gross irrigation depth was 17 mm and 22 mm, respectively. Evaporation was 8 mm. Water scheduling was 2 and 3 days, respectively. The number of irrigation schedules was 4 and 4.4 irrigations. And, schedule irrigation interval was 20 and 18 days, respectively. Observationally, the combination of scheduling and the drip techniques in the irrigation system established a higher level of automation goals attainable in the farm land, and inturn provided more conservation than could have been achieved individually. These data are vital for decision making in agricultural farms, especially in the deployment of irrigation automation prior to automatic water timers, maintaining notable efficient irrigation, and conservation of natural resources like soil and water, and artificial resources like human labour and machines in cultivational farms.

Zenodo (CERN European Organization for Nuclear Research)
Enugu State University of Science and Technology (NG), Delta State University (NG), Delta State Polytechnic Ogwashi-Uku (NG), Delta State University (US)
Openalex Percentile: Top 59%
Irrigation Practices and Water Management
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.

IRRIGATION WATER SCHEDULING OF THE DRIP SYSTEM FOR AUTOMATION AND CONSERVATION IN AGRICULTURAL CULTIVATIONAL FARMS — O.M. Akwenuke, C.G. Okeke, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS