Precision Irrigation Scheduling Based on Wireless Soil Moisture Sensors to Improve Water Use Efficiency and Yield for Winter Wheat in Sub-Saharan Africa

Munyaradzi, Michael; Hapanyengwi, Gilford; Masocha, Mhosisi; Mutandwa, Edward; Raeth, Peter G.; Nyambo, Benny M.; Murwira, Amon; Mashonjowa, Emmanuel

doi:10.1155/2022/8820764

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…Human activities could affect sustainable ecosystem services; for example, agriculture negatively influences water quality (Anderson et al, 2021), biodiversity (Sharma et al, 2018), carbon stocks, and soil retention (Wang et al, 2022). Consequently, the growth of agricultural land, specifically intensive agriculture, is often considered an enemy of sustainable water ecosystem services due to the production of pollutants, including fertilizer and chemical inputs (Rashmi et al, 2020), as well as the tendency to reduce water supply through irrigation (Munyaradzi et al, 2022). Increasing agricultural land is urgently needed to meet the rising population growth estimated to reach 9.7 billion globally by 2050 (UN, n.d.).…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Assessing payment for ecosystem services to improve lake water quality using the InVEST model

Supriyanto,

Nowo Martono,

Sari Hasibuan

et al. 2024

Environmental Economics

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Payment for ecosystem services is a conservation strategy designed to offer farmers financial incentives for managing land to provide ecological benefits without disturbing livelihoods. However, the distribution of spatial financial feasibility is challenging when implementing this strategy on watershed scale. This study aimed to develop payment for ecosystem services model to improve quality in lake water catchment. The model estimated incentive values based on the costs of farmers’ losses, water yields, and pollution loads. The potential loss was calculated by determining the income of farmers in lake water catchment spent on land conversion from intensive agriculture to agroforestry. Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) modeling tool was used to calculate water yield and pollution load. The model was tested with case study approach at Lake Rawa Pening in Indonesia, consisting of nine sub-basins and 75 village administrations. The results showed that the reference compensation for farmers was 1,255.97 USD/ha/year. Considering the spatial distribution of water yields, the incentive for each village varied widely from 891.54 USD/ha/year to 1,557.06 USD/ha/year, even within the same sub-basin. Ten villages had an incentive above 1,450.00 USD/ha/year. However, considering the water pollution load, 26 villages had an incentive above 1,450.00 USD/ha/year with a maximum of 2,024.17 USD/ha/year. Therefore, village boundary should be an analysis unit for determining spatial incentive feasibility rather than a sub-basin boundary. Moreover, the level of water pollution load can become an additional variable to justify the amount of incentives received by farmers.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

Assessing payment for ecosystem services to improve lake water quality using the InVEST model

Supriyanto,

Nowo Martono,

Sari Hasibuan

et al. 2024

Environmental Economics

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“…In the previous thirty years enormous growth in the creation of irrigation water wells has been done for instance they currently control 19 Mha in China, 39 Mha of irrigated land in India, 17 Mha in the United States of America and massive parts of Pakistan and Bangladesh (Angelakιs, et al, 2020). These have enabled key remunerations for masses of moderate agriculturalists as mitigation to increased temperature and rainfall variation (Munyaradzi, et al, 2022).…”

Section: Chapter One: Introduction 11 Backgroundmentioning

confidence: 99%

Groundwater Availability and Suitability Evaluation for Irrigated Agriculture in Mbale District

2023

IJFMR

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The purpose of this study was to evaluate the availability and suitability of groundwater in Mbale district basing on potential, quality and vulnerability to support irrigated agriculture. Groundwater potential was assessed using geospatial technique through AHP model. Thematic layers were prepared namely: land use and land cover, slope, soil, rainfall, lineament density, lithology, geomorphology and drainage density. All layers were integrated using the MLC technique. Ranking of each parameter was performed using WOIA. Weights were assigned to each subject class basing on AHP results. The consistency of the outputs was tested by computation of CR and was at a reasonable acceptable level (0.029 < 0.1). Groundwater potential was delineated basing on the values of groundwater potential index. Groundwater quality was determined using IWQI method. Thirty-three water samples were collected. Five chemical parameters were tested in the laboratory: chloride, electrical conductivity, bicarbonate, sodium and SAR to generate the water quality database using Kriging interpolation technique. Computation of IWQI values for each source was made and was used to generate the IWQI map using the weighted summation. DRATIC method was used to delineate vulnerability of groundwater. Layers were generated using the following parameters: depth to groundwater, net recharge, aquifer media, topography, vadose zone impacts, and hydraulic conductivity. The aquifer vulnerability map was prepared by overlaying layers. Three different vulnerability zones were determined according to DRASTIC scores low (<100), medium (100-140) and high (>140). Integration of maps of quality, vulnerability and potential of groundwater was made using an unsupervised MLC classification method. Groundwater potential was in three zones: very good zone was 26.99 km2 (12.98%), the good zone was 126.22 km2 (60.71%) and the poor zone was 54.69 km2 (26.31%). The average annual exploitable groundwater reserves are estimated at 0.026 (MCM/km2) in the zone of “very good”, 0.024 MCM/km2 in the zone of “good” and 0.018 MCM/km2 in the zone of “poor”. Groundwater quality was in two use restrictions: High Restriction of 90.90% with the IWQI value from 40 to 55 on the area of 188.98 km2 of the study area and Severe Restriction of 9.10% with IWQI values from 32 to 40 covering of 18.92 km2. The study area had a high probability of contamination. Low vulnerability covers an area of 11.23km2 (5.40%), 77.83km2 (37.44%) for medium and 118.83km2 (57.16%) for high. The resulting clustered map was classified into five categories with their respective regions: 17.58% very poor (36.56km2), 13.84% poor (28.77km2), 12.69% good (26.39km2), 31.46% very good (65.39km2) and 24.43 % excellent (50.78km2). The sub counties in Mbale district that have inadequate and unsuitable groundwater for irrigated agriculture are Budwale, Wanale, Busano, Bubyangu, Bufumbo and Nyondo since they belong to the zones of very poor and poor. The remaining sub counties have available and suitable groundwater for irrigated agriculture since they belong to the zones of good, very good and excellent.

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“…Petousi et al (2018) employ the internet to link system components, as did Chin and Audah (2017). Munyaradzi et al (2022) use cellular telecon.…”

Section: Introductionmentioning

confidence: 99%

LoRa flood messaging applied to remote soil-moisture monitoring

Peter,

Philip

2023

J. Eng. Comput. Innov.

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Soil-Moisture sensing has proven to be an important factor in decreasing the need for irrigation while maintaining crop yield and quality. Farmers' finding ways to minimize water use is necessary given the world's obvious climate change and, in some areas, the resulting onslaught of drought. As the world's population grows and the demand for higher-quality food increases, precision irrigation becomes even more essential. As sensors are deployed, these have to be monitored in some way. Our project employs radio broadcasts over unlicensed frequencies to implement wireless remote sensing. Internet and cellular are alternative solutions. However, those require more than the acquisition and implementation of certain equipment and software. Those two approaches also involve third-party services, and their continuing fees. An additional assumption is that those services are available, cost effective, and reliable. Radio broadcast using the LoRa (Long Range) protocol is essentially a low-power means for implementing transceivers for low-rate data exchange. These are effective over longer ranges than technologies such as Bluetooth. LoRa is often deployed using LoRaWAN (LoRa for formal Wide Area Networks) but that involves additional equipment. This paper discusses a means of using only relatively low-cost hardware (Arduino-Uno microcontrollers with attached Dragino transceivers). A wireless network is formed upon which messages flow from sensors attached to microcontrollers, through relays (to account for terrain variability and other obstructions), to a receiver connected to some external system. The LoRa hardware unit remains consistent across all components, with only the installed software varying. Relays and receivers utilize their own unchanging software. However, the sensor units' baseline software is adapted based on the types and numbers of sensors attached. Each sensor, relay, and receiver has its own unique assigned network address. The authors have constructed and demonstrated a proof-of-concept of the ideas expressed in this paper. Discussion is offered on future work required as the project moves toward field application.

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Precision Irrigation Scheduling Based on Wireless Soil Moisture Sensors to Improve Water Use Efficiency and Yield for Winter Wheat in Sub-Saharan Africa

Cited by 4 publications

References 42 publications

Assessing payment for ecosystem services to improve lake water quality using the InVEST model

Assessing payment for ecosystem services to improve lake water quality using the InVEST model

Groundwater Availability and Suitability Evaluation for Irrigated Agriculture in Mbale District

LoRa flood messaging applied to remote soil-moisture monitoring

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