The Northern region of Nigeria produces major revenue from agriculture, thereby contributes 23% of Global GDP despite of constrained land resources. The improvement in GDP can be made realizable with the incorporation of systematic, organized and sustainable smart irrigation system In this chapter, we are attempting the realization of IoT (Internet of Things) as well as AI (Artificial Intelligence) often termed as AIoT, to transform the traditional agricultural system in Northern Nigeria into smart and sustainable agriculture. Herein we are highlighting controlled and selective usage of Agrochemicals and automatic monitoring of chemical usage in agriculture with the help of AIoT to avoid chemical wastage. Machine learning appended IoT in irrigation system are described to protect crop health from climate change and other non-negotiable parameters such as population growth, employment and food security issues. Soil management with the help of AI is also discussed in this chapter. Herein, we have analyzed the pros and cons of present Nigerian agriculture especially for the northern side and presented possible AIoT based approaches like AI workshops and training to farmers, soil testing using AI, quality of chemicals testing, optimization of chemicals usage, environmental factors predictions, decision making with the help of Operations Research (OR)
Kabiru Hamisu (Tue,) studied this question.