Revolutionizing grape yield predictions: the rise of semi-supervised berry counting with CDMENet
From Nanjing Agricultural University The Academy of Science 16/01/24 To improve grape yield predictions, automated berry counting has emerged as a crucial yet challenging task due to the dense distribution and occlusion of berries. While grape cultivation is a significant global economic activity, traditional manual counting methods are inaccurate and inefficient. Recent research has shifted […]