Titlebook: Artificial Intelligence Techniques in Smart Agriculture; Siddharth Singh Chouhan,Akash Saxena,Sanjeev Jain Book 2024 The Editor(s) (if app

Foolproof

Thea Heijenbrok-van Herpen,Wobbe Hospes, decentralized, and participative methods considered local socioeconomic and policy constraints are necessary for the implementation of AI. Concerns about hidden biases and responsibility are raised by AI systems. Building trust requires redress channels, audits, and transparency systems. To create

ostensible

LATHE

J.A. Swinkels,T. Dunnink,H. Vermeulenhe individuals reading the context. In order to effectively use AI into agriculture, several constraints need to be resolved. Enhancing data quality and collecting, cutting down on the cost of AI technologies, making AI models more flexible, and creating unambiguous ethical standards for their use s

退潮

Criteria voor goede richtlijnenineyard management robots and fruit harvesting robots, offer innovative solutions to labor-intensive tasks and enhance operational efficiency. Furthermore, the importance of irrigation water management in sustainable agriculture, showcasing technologies like soil water sensing, automated irrigation

Corroborate

J.J.E. Everdingen,D.H.H. Dreesens,T. Weijdenicultural decision-support systems, benefiting a wide range of businesses. This work, which establishes a new standard for harnessing artificial intelligence for sustainable agriculture practices, will assist plant stress detection and improved crop management.

cajole

Integriteit en kwaliteit van clinical trialsphasizes significant benefits such as cost-effectiveness, increased efficiency, and precision. Yet, it acknowledges challenges faced by this technology: the need for extensive datasets, a growing demand for skilled professionals, and maintaining consistent performance across diverse environments..Lo

流利圓滑

正式演說

凝結(jié)劑

Exploratory clinical developmentays, 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 approac

Decimate