Development of a Three-Dimensional Plant Localization Technique for Automatic Differentiation of Soybean from Intra-Row Weeds

• Published in: Agriculture (Basel) Vol. 12; no. 2; p. 195
• Main Authors: Su, Wen-Hao, Sheng, Ji, Huang, Qing-Yang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2022
• Subjects: Algorithms; Cameras; computer vision; crop signaling; Crops; Differentiation; Economics; Environmental impact; Fluorescence; fluorescent imaging; Herbicides; Labor costs; Legumes; Lettuce; Light emitting diodes; Localization; Machine learning; Morphology; Permeability; plant localization; precision agriculture; Profitability; Rhodamine; Seed treatments; Seedlings; Seeds; Signaling; Soybeans; Technology; Weed control; Weeds; United States > US; Japan

Soybean is a legume that is grown worldwide for its edible bean. Intra-row weeds greatly hinder the normal growth of soybeans. The continuous emergence of herbicide-resistant weeds and the increasing labor costs of weed control are affecting the profitability of growers. The existing cultivation tec...