Proceedings
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| Filter results14 paper(s) found. |
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1. Young Leaf Detection for Spot Spray Treatment of Citrus Canopies to Control PsyllidsHuanglongbing (HLB) is an important disease of citrus that is spread mainly through a vector, psyllid (Diaphorina citri), that feeds predominantly on young leaves. Given the selective feeding of the insect, treating only the young flush, instead of spraying the entire... R. Ehsani, M. Salyani, J.M. Maja, A.R. Mishra, P.A. Larbi, J. Camargo neto |
2. The Performance Of Mobile Devices' Inertial Measurement Unit For The Detection Of Cattle's Behaviors On PastureOver the past decade, the Precision Livestock Farming (PLF) concept has taken a considerable place in the development of accurate methods for a better management of farm animals. The recent technological improvements allow the raising of numerous motion sensors such as accelerometers and GPS tracking. Several studies have shown the relevancy of these sensors to distinguish the animals’ behavior using various classification techniques such as neuronal networks or multivariate... A. Andriamandroso, B. Dumont, F. Lebeau, J. Bindelle |
3. Precision Placement of Corn Gluten Meal for Weed Control in Organic Vegetable ProductionOrganic vegetable producers rank weeds as one of their most troublesome, time consuming, and costly production problems. As a result of the limited number of organically approved weed control herbicides, the precision placement of these materials increases their potential usefulness in organic production systems. As a non-selective preemergence or preplant-incorporated herbicide, corn gluten meal (CGM) inhibits root development; decreases shoot length, and reduces plant survival. The development... C.L. Webber iii, M.J. Taylor, J.W. Shrefler |
4. Coupling Machine Learning Algorithms and GIS for Crop Yield Predictions Based on Remote Sensing Imagery and Topographic IndicesIn-season yield prediction can support crop management decisions helping farmers achieve their yield goals. The use of remote sensing to predict yield it is an alternative for non-destructive yield assessment but coupling auxiliary data such as topography features could help increase the accuracy of yield estimation. Predictive algorithms that can effectively identify, process and predict yield at field scale base on remote sensing and topography still needed. Machine learning could be an alternative... M.F. Oliveira, G.T. Morata, B. Ortiz, R.P. Silva, A. Jimenez |
5. Transforming Precision Agriculture Education, Research and Outreach in Sub-saharan Africa Through Intra-africa CooperationProductivity and profitability of sub-Saharan (SSA) agriculture can be enhanced greatly through the adoption of precision agriculture technologies and tools. However, until 2020 when the African Plant Nutrition Institute (APNI) established the African Association for Precision Agriculture (AAPA), most SSA PA enthusiast worked in isolation. The AAPA was formed to innovate Africa’s agricultural industry by connecting PA science to its practice and disseminate PA tailored to the needs... K.A. Frimpong, S. Phillips, V. Aduramigba-modupe, N. Fassinou hotegni, M. Mechri, M. Mishamo, J.M. Sogbedji, Z. hazzoumi, R. Chikowo, M. Fodjo kamdem |
6. Emerging Megatrends of Sustainable Nutrient Management Research in Sub-saharan AfricaAfrica has the 12th highest population growth rates in the world, which may double by 2050; and have bio-physical constraints which impinge on development, that need to be addressed. This ever-increasing human population demands corresponding increase in food production, where low nutrient use and management is a critical challenge. Most research conducted by African scientists are rarely used in decision-making, because they are not properly aligned with the needs of decision-makers due to weak... V. Aduramigba-modupe, K. Frimpong |
7. African Association for Precision Agriculture Community Meeting... K.A. Frimpong, V. Aduramigba-modupe, N. Fassinou hotegni |
8. An Intelligent Blade Balancing Control System for Steep-terrain Tea Cutting ApplicationsTea is a famous and valuable beverage in Taiwan. Tea is mainly grown in steep or mountainous areas. The terrain is a challenge for harvesting automation. Manual labor in harvesting tea in complex terrain is time-consuming and affects the economic efficiency of the product. This study proposes a tea-cutting blade balancing control system integrating image processing and fuzzy logic control. A unique mechanism is developed to adapt to the slope of the terrain. The limiting angle is 12 degrees relative... W. Lin |
9. Improving Depth Accuracy by Using a Real-time Monitoring System for Traditional Tillage MachineryTillage depth has a great influence on soil quality, fuel consumption, and equipment durability in mechanized farming. However, traditional methods often maintain a fixed depth, lacking the ability to adjust in real time. This study proposes a real-time monitoring system that significantly improves the depth measurement accuracy of traditional tillage machinery. The system is equipped with a soil contact wheel combined with an angle sensor, which converts the rotation angle into a depth value... W. Lin |
10. Enhancing Sustainable Farming of Nh: Mechanization of Planting and Post Harvest CleaningNymphoides hydrophylla (NH), commonly known as white water snowflake, is a culturally and nutritionally important aquatic vegetable, particularly valued in Taiwan's Hakka communities. However, its commercial scalability remains limited due to labor-intensive practices in both planting and post-harvest cleaning. This study introduces an integrated mechanized system that combines a seedling planting tool and a cleaning machine, designed to enhance overall production efficiency, reduce manual... W. Lin |
11. A Vision-guided Gantry Robot for Efficient Orchid Basket Reorganization in GreenhousesProper alignment of orchid baskets in greenhouses is important to maintain visual uniformity, maximize space usage, and ensure consistent light exposure during flowering. Manual arrangement is time-consuming and labor-intensive, underscoring the need for automation. To address this challenge, we propose an integrated robotic system for automated basket organization. The system combines a cartesian gantry robot, a rotation-aware clamping gripper, dual Intel RealSense D435i cameras, and a lightweight... W. Lin |
12. Reducing Ground Losses Using a Leaf Segmentation-based Autonomous Sprayer for Papaya GreenhousesPapaya plants have irregular canopy structures, making traditional spraying methods highly labour-intensive and prone to chemical waste due to non-selective application. In precision agriculture, delivering pesticides accurately to target areas is crucial for reducing labour requirements, costs, and environmental impact. Therefore, the integration of smart agricultural machinery and machine vision is necessary to optimise pesticide application. In this study, a low-cost autonomous spraying system... W. Lin |
13. Biosynthesis of Silver Nanoparticles from Platostoma Palustre for Agricultural ApplicationsNanoparticle synthesis using natural resources offers a cost-effective and eco-friendly strategy. In this study, silver nanoparticles (AgNPs) were synthesized using Platostoma palustre extract (PPE), rich in polysaccharides and bioactive compounds. Characterization by XRD, SEM, and TEM confirmed successful synthesis. TEM revealed oval-shaped nanoparticles (7-80 nm) with PPE forming a stabilizing layer to prevent agglomeration, while XRD indicated a crystallite size of approximately 7... W. Lin |
14. UWB-IMU System Application and Analysis in Cucumber GreenhousesAccurate and stable positioning is essential for autonomous navigation and environmental monitoring in greenhouse environments. Simultaneous Localization and Mapping (SLAM) is one of the methods to determine the location. This method generally requires a computer and measurement devices such as LiDAR and cameras, making it relatively costly and demanding in terms of deployment conditions. In contrast, ultra- wideband (UWB) is attracting attention as a high-resolution, short-range localization... W. Lin |