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| Filter results2 paper(s) found. |
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1. Web Application Based on CNN for Classification of Biotic and Abiotic Stresses in Coffee LeavesThe use of digital systems can assist coffee growers and professionals in diagnosing stresses that affect coffee plantations, ensuring that crop management is carried out correctly and efficiently. Therefore, the aim of this study was to develop a web application based on a pre-trained Convolutional Neural Network to classify coffee leaf images exhibiting symptoms of biotic and abiotic stresses. Initially, a dataset consisting of coffee leaf images affected by biotic and abiotic stresses was constructed.... D.H. Leite, D.S. Valente, P.M. Arruda, F.D. Tancredi, D. Queiroz, G. Dumbá Monteiro De Castro |
2. Digital Terrain Modeling and Topographic Smoothing for Levee Optimization in Irrigated Rice Areas Using AgroCAD® and T3rra Cutta©The systematization of lowland areas intended for irrigated rice production requires precise topographic planning to ensure efficiency in water management and operational performance of agricultural activities. Traditional land leveling methods are often based on empirical approaches, which may result in excessive soil movement and inefficient levee configurations. Advances in Precision Agriculture have enabled the integration of high-precision GNSS positioning with digital terrain modeling tools,... A. Mullich, I. Maldaner, L. , L. Wendt, J. Turchiello, M. Noal Santarem, M.L. Auzani Biscaino |