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| Filter results4 paper(s) found. |
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1. Use of Crop and Drought Spectral Indices to Support Harvest Decisions of Peanut Fields in AlabamaHarvest efficiency expressed in quantity and quality of peanut fields could increase if farmers are provided with tools to support harvest decisions. Peanut farmers still rely on a visual and empiric method to assess the right time of peanut maturity but this method does not account for within-field variability of crop growth and maturity. The integration of spectral vegetation indices to assess drought, soil moisture, and crop growth to predict peanut maturity can help farmers strengthen decisions... M.F. Oliveira, B.V. Ortiz, E. Hanyabui, J.B. Costa Souza, A. Sanz-saez, S. Luns Hatum De Almeida , C. Pilcon, G. Vellidis |
2. Integrating Management Zones, Artificial Neural Networks and Remote Sensing for Smart Peanut HarvestingThe integration of technologies contributes significantly to agricultural development, especially regarding the rational and more sustainable use of soil. Thus, the use of remote sensing and artificial intelligence techniques combined with precision agriculture can maximize smart harvesting for peanut crops, which face several challenges such as limited harvesting technology, indeterminate growth, and the development of pods below the soil surface. Therefore, this study aimed to develop a peanut... |
3. Evaluation of Horizontal Distribution in Spraying with RPA in Static and Dynamic ModesThe application of plant protection products (PPPs) using remotely piloted aircraft (RPA) represents a significant innovation in the context of modern agriculture, especially regarding the pursuit of greater operational efficiency and the reduction of environmental impacts. The use of this technology has stood out for the possibility of carrying out more precise applications, with better control of droplet deposition and potential reduction in in input consumption. However, despite its promising... G. Gomes Mesquita , J.B. Costa Souza, I. De Oliveira Vieira, S.L. Hatum De Almeida, V.D. Carreira, R.P. Silva, A. Felipe Dos Santos |
4. Impact of Mechanical Decompaction on Soybean Yield through Remote Sensing and Agronomic VariablesSoil compaction is one of the main limiting factors for agricultural productivity, requiring efficient diagnostic and management methods. Increased machinery traffic in agricultural areas alters soil physical properties, reducing macroporosity and increasing soil penetration resistance, which restricts root growth and limits water and nutrient uptake. Traditional field methods for diagnosing soil compaction are often punctual and labor-intensive, and they may not adequately represent the spatial... |