AI-Based Regulation of Water Supply and Pest Management in Farming
摘要
With the growing global population, effectively managing water demands for farming and undertaking appropriate pest management are challenging tasks to attain sustainable crop production. Since water shortages and losses are intolerable, efficient management calls for sound leak detection procedures and proactive decision-making. On the other hand, Current Agriculture is being confronted with climate change, unexpected pest outbreaks, frequent invasions of transboundary pests, and pest management problems. At this juncture, Industry 4.0 has plenty of technical answers, but artificial intelligence (AI) is an unexplored potential tool in smart farming. AI’s core competence is scalable, cost-effective personalized services, which the agriculture business needs. By understanding farmers’ needs, identifying the right systemic mechanisms to meet them, and assessing their potential impact pathways, we can use AI to create resilient and feasible solutions that surpass current technological advances. Water supply and pest management are the domains that possess significant potential to enhance the livelihoods of subsistence farmers. In this chapter, we want to highlight promising AI approaches that can help farmers overcome water supply and pest control challenges. This chapter discusses the deployment of AI-powered pest detection, identification, classification, prediction, decision making, and pesticide spraying in real time.