Araştırma Makalesi
Yıl 2023,
Cilt: 4 Sayı: 1, 15 - 25, 30.06.2023
Öz
This study uses the Food and Agricultural Organization (FAO) Penman-Monteith equation to develop a crop water algorithm needed to automate the supply of specific amount of water to crops, depending on their different crop water requirements. This was done to deviate from the practice of supplying the same amount of water to different crops during irrigation practices which could lead to over-irrigation or under-irrigation resulting in pest infestation and eventually low yield. The crop water requirement for cocoyam, spinach and tomatoes were estimated using data from FAO. A microcontroller-based smart irrigation device incorporated with real-time clock was developed to supply the right amount of water to crops at the right time and duration daily. The implementation was done using a laboratory-scale irrigation test bed and experimental results reveal the effectiveness of the developed system in the automation of crop-specific irrigation systems and in line with their Crop Water Requirement (CWR). Possible applications include greenhouses where researchers have to apply a specific amount of water to crops for experiments; horticultural gardens and nurseries to mention a few.
Anahtar Kelimeler
Irrigation Crop water use Automation Scheduling Penman-monteith
Destekleyen Kurum
NONE
Proje Numarası
NONE
Teşekkür
NONE
Kaynakça
- Agugo BAC, Muoneke CO, Eno-Obongo EE, Asiegbu JE (2009). A Theoretical Estimate of Crop Evapotranspiration and Irrigation Water Requirements of Mungbean (Vigna Radiata) In a Low Land Rain Forest Location of Southeastern Nigeria. In Electronic Journal of Environmental, Agricultural and Food Chemistry, 8(9); p. 720-729.
- AQUASTAT (2016). Water Uses. http://www.fao.org/nr/water/aquastat/water_use/index.stm, accessed 9th August, 2019
- Dorji K, Dorji SD and Tshering P (2017). Irrigation Scheduling and Water Requirements for Citrus Mandarin (Citrus Reticulata Blanco) - A case study from Drujegang, Dagana Bhutan. Bhutan
- Ewemoje TA, Fagbayide SD and Oluwasemire K.O (2018). Lysimeter Determination of Crop Coefficient of Drip Irrigated Jatropha Curcas. Federal University of Technology, Akure, Journal of Engineering and Engineering Technology. FUTAJEET Vol. 12 (1). p. 159 – 170.
- Gangwar, A., Nayak, T. R., Singh, R. M., & Singh, A. (2017). Estimation of crop water requirement using CROPWAT 8.0 model for Bina command, Madhya Pradesh. Indian Journal of Ecology, 44, 71-76.
- Kamienski, C., Soininen, J.P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., Torre Neto, A. (2019). Smart water management platform: Iot-based precision irrigation for agriculture. (19). p. 276.
- Kizito M, Amini N and Taha SU (2016). Design and Implementation of a Smart Irrigation System for Improved Water-Energy Efficiency. Conference: 4th IET Clean Energy and Technology Conference (CEAT 2016). DOI: 10.1049/cp.2016.1357
- Munoth P (2016). Sensor Based Irrigation: A Review. International Research Journal of Engineering and Technology (IRJET), NCACE conference proceedings, (p. 86). Jaipur, India.
- Ogidan OK, Onile AE and Adegboro OG (2019). Smart Irrigation System: A Water Management Procedure. Agricultural Sciences, 10; p. 25-31. https://doi.org/10.4236/as.2019.101003
- Ogidan OK., and Afia KR (2019). Smart irrigation system with an android-based remote logging and control. In IEEE Region 8 flagship conference (AFRICON), Gimpa Executive conference Centre, Accra, September, 25th – 27th 2019.
- Omid A, Pedro F, Luis G and Zita V (2020). Agricultural irrigation scheduling for a crop management system considering water and energy use optimization, Energy Reports, 12(1). p. 133-139. https://doi.org/10.1016/j.egyr.2019.08.031.
- Raeth PG (2020). Moving beyond manual software-supported precision irrigation to human-supervised adaptive automation. African Journal of Agricultural Research, 16(11), p. 1548-1553.
- Rodriguez D, Reca J, Martinez J, Lopez-Luque R and Urrestarazu M (2015). Development of a New Control Algorithm for Automatic Irrigation Scheduling in Soilless Culture. Article in Applied Mathematics & Information Sciences 9(1); p. 47-56.
- Sandeep K. and Deepali. Y (2017). A Survey on Automatic Irrigation System Using Wireless Sensor Network. International Journal of Current Engineering and Scientific Research. Volume-4, Issue 8
- Surendran U, Sushanth CM, Mammen G and Joseph EJ (2017). FAO-CROPWAT model-based estimation of crop water need and appraisal of water resources for sustainable water resource management: Pilot study for Kollam district-humid tropical region of Kerala, India. Current Science (00113891), 112(1).
- Torres-Sanchez R, Navarro-Hellin H, Guillamon-Frutos A, San-Segundo R, Ruiz-Abellón MC and Domingo-Miguel RA (2020). Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques. (12). p. 548
- Wardlaw R and Bhaktikul K (2004). Applications of Genetic Algorithms for Irrigation Water Scheduling. Scotland. UK.
- Yadav D, Awasthi MK. and Nema RK. (2018). Study on crop water requirement of field crops under different climatic conditions of Madhya Pradesh. Agricultural Science Digest, 38 (2).
- Yogesh GG, Devendra SC and Hitendra CC (2016). A Review on Automated Irrigation System using Wireless Sensor Network. International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 5, Issue 6.
- Zia H, Rehman A, Harris NR, Fatima S and Khurram M (2021). An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm. Sensors. 21(12): p. 4175. https://doi.org/10.3390/s21124175
Yıl 2023,
Cilt: 4 Sayı: 1, 15 - 25, 30.06.2023
Öz
Proje Numarası
NONE
Kaynakça
- Agugo BAC, Muoneke CO, Eno-Obongo EE, Asiegbu JE (2009). A Theoretical Estimate of Crop Evapotranspiration and Irrigation Water Requirements of Mungbean (Vigna Radiata) In a Low Land Rain Forest Location of Southeastern Nigeria. In Electronic Journal of Environmental, Agricultural and Food Chemistry, 8(9); p. 720-729.
- AQUASTAT (2016). Water Uses. http://www.fao.org/nr/water/aquastat/water_use/index.stm, accessed 9th August, 2019
- Dorji K, Dorji SD and Tshering P (2017). Irrigation Scheduling and Water Requirements for Citrus Mandarin (Citrus Reticulata Blanco) - A case study from Drujegang, Dagana Bhutan. Bhutan
- Ewemoje TA, Fagbayide SD and Oluwasemire K.O (2018). Lysimeter Determination of Crop Coefficient of Drip Irrigated Jatropha Curcas. Federal University of Technology, Akure, Journal of Engineering and Engineering Technology. FUTAJEET Vol. 12 (1). p. 159 – 170.
- Gangwar, A., Nayak, T. R., Singh, R. M., & Singh, A. (2017). Estimation of crop water requirement using CROPWAT 8.0 model for Bina command, Madhya Pradesh. Indian Journal of Ecology, 44, 71-76.
- Kamienski, C., Soininen, J.P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R., Torre Neto, A. (2019). Smart water management platform: Iot-based precision irrigation for agriculture. (19). p. 276.
- Kizito M, Amini N and Taha SU (2016). Design and Implementation of a Smart Irrigation System for Improved Water-Energy Efficiency. Conference: 4th IET Clean Energy and Technology Conference (CEAT 2016). DOI: 10.1049/cp.2016.1357
- Munoth P (2016). Sensor Based Irrigation: A Review. International Research Journal of Engineering and Technology (IRJET), NCACE conference proceedings, (p. 86). Jaipur, India.
- Ogidan OK, Onile AE and Adegboro OG (2019). Smart Irrigation System: A Water Management Procedure. Agricultural Sciences, 10; p. 25-31. https://doi.org/10.4236/as.2019.101003
- Ogidan OK., and Afia KR (2019). Smart irrigation system with an android-based remote logging and control. In IEEE Region 8 flagship conference (AFRICON), Gimpa Executive conference Centre, Accra, September, 25th – 27th 2019.
- Omid A, Pedro F, Luis G and Zita V (2020). Agricultural irrigation scheduling for a crop management system considering water and energy use optimization, Energy Reports, 12(1). p. 133-139. https://doi.org/10.1016/j.egyr.2019.08.031.
- Raeth PG (2020). Moving beyond manual software-supported precision irrigation to human-supervised adaptive automation. African Journal of Agricultural Research, 16(11), p. 1548-1553.
- Rodriguez D, Reca J, Martinez J, Lopez-Luque R and Urrestarazu M (2015). Development of a New Control Algorithm for Automatic Irrigation Scheduling in Soilless Culture. Article in Applied Mathematics & Information Sciences 9(1); p. 47-56.
- Sandeep K. and Deepali. Y (2017). A Survey on Automatic Irrigation System Using Wireless Sensor Network. International Journal of Current Engineering and Scientific Research. Volume-4, Issue 8
- Surendran U, Sushanth CM, Mammen G and Joseph EJ (2017). FAO-CROPWAT model-based estimation of crop water need and appraisal of water resources for sustainable water resource management: Pilot study for Kollam district-humid tropical region of Kerala, India. Current Science (00113891), 112(1).
- Torres-Sanchez R, Navarro-Hellin H, Guillamon-Frutos A, San-Segundo R, Ruiz-Abellón MC and Domingo-Miguel RA (2020). Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques. (12). p. 548
- Wardlaw R and Bhaktikul K (2004). Applications of Genetic Algorithms for Irrigation Water Scheduling. Scotland. UK.
- Yadav D, Awasthi MK. and Nema RK. (2018). Study on crop water requirement of field crops under different climatic conditions of Madhya Pradesh. Agricultural Science Digest, 38 (2).
- Yogesh GG, Devendra SC and Hitendra CC (2016). A Review on Automated Irrigation System using Wireless Sensor Network. International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 5, Issue 6.
- Zia H, Rehman A, Harris NR, Fatima S and Khurram M (2021). An Experimental Comparison of IoT-Based and Traditional Irrigation Scheduling on a Flood-Irrigated Subtropical Lemon Farm. Sensors. 21(12): p. 4175. https://doi.org/10.3390/s21124175
Toplam 20 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Ziraat Mühendisliği |
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Proje Numarası | NONE |
| Erken Görünüm Tarihi | 25 Haziran 2023 |
| Yayımlanma Tarihi | 30 Haziran 2023 |
| Gönderilme Tarihi | 5 Eylül 2022 |
| Kabul Tarihi | 10 Şubat 2023 |
| Yayımlandığı Sayı | Yıl 2023 Cilt: 4 Sayı: 1 |
Uluslararası Hakemli Dergi
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Yayıncı: Ebubekir ALTUNTAŞ
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