Precision irrigation management using machine learning and digital farming solutions

• Main Authors: Abioye, Emmanuel Abiodun, Hensel, Oliver, Esau, Travis J., Elijah, Olakunle, Zainal Abidin, Mohamad Shukri, Ayobami, Ajibade Sylvester, Yerima, Omosun, Nasirahmadi, Abozar
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/100608/1/MohamadShukri2022_PrecisionIrrigationManagementUsingMachineLearning.pdf; http://eprints.utm.my/id/eprint/100608/; http://dx.doi.org/10.3390/agriengineering4010006

Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the available freshwater. This underscores the importance of responsible management, using smart agricultural wa...