Applications of Machine Learning and Deep Learning in Agriculture for Enhanced Crop Management

For improved crop management and precision farming, machine learning technologies are crucial. These technologies are highly helpful in supporting farmers in making data-driven choices that maximize yields and reduce wastage of resource. In this article we shall talk about how crop management and precision agriculture can be enhanced by using machine learning technologies. Farmers may increase yields and decrease waste by utilizing data-driven insights, which will result in more effective and sustainable agricultural methods. Farmers may overcome critical challenges by utilizing machine learning applications in their respective agricultural tasks. This paper also provides an overview of current agricultural issues and the most important preliminary information about the unavoidable challenges. We examine the agricultural sector’s current status and draw attention to some of the main problems that farmers encounter. We can better appreciate the potential impact of machine learning applications and how they can address some of the most important issues facing the agriculture industry by comprehending these challenges.