A5019379379- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Plant Surface Properties and Treatments
- Leaf Properties and Growth Measurement
- Greenhouse Technology and Climate Control
- Date Palm Research Studies
- Crop Yield and Soil Fertility
- Plant Water Relations and Carbon Dynamics
- Entomopathogenic Microorganisms in Pest Control
- Urban Heat Island Mitigation
- Microbial infections and disease research
- Agricultural Innovations and Practices
- Soil Mechanics and Vehicle Dynamics
- Insect Resistance and Genetics
- Spectroscopy and Chemometric Analyses
- Plant Physiology and Cultivation Studies
- Horticultural and Viticultural Research
- Tree Root and Stability Studies
- Postharvest Quality and Shelf Life Management
Universidad de Sevilla
2017-2023
Farmers require accurate yield estimates, since they are key to predicting the volume of stock needed at supermarkets and organizing harvesting operations. In many cases, is visually estimated by crop producer, but this approach not or time efficient. This study presents a rapid sensing estimation scheme using off-the-shelf aerial imagery deep learning. A Region-Convolutional Neural Network was trained detect count number apple fruit on individual trees located orthomosaic built from images...
Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as direct indirect methods available are laborious time-consuming. The recent emergence high-throughput plant phenotyping platforms increased need to develop new tools for better decision-making by breeders. In this paper, novel model based on artificial intelligence algorithms nadir-view red green blue (RGB) images taken from terrestrial high throughput platform is presented. mixes...
The demands of a growing population and developing global economy will require an increase in agricultural yield 70% over the next 30 years. However, achieving this goal is only possible with sustainable intensification systems. Spraying drones are one available technologies that could help meet goal. Presently, use spraying limited by both legal framework lack scientific knowledge about drift they generate compared to conventional terrestrial platforms. flexibility provide, their...
The increasing demand for optimizing the use of agricultural resources will require adoption cutting-edge technologies and precision farming management. Unmanned Aerial Vehicle (UAV) sprayers seem promising due to their potential perform or spot spraying, particularly in woody crop environments where total surface spraying is unnecessary. However, incorporating this technology limited by lack scientific knowledge about environmental risks associated with UAV strict legal framework....
Plant modeling can provide a more detailed overview regarding the basis of plant development throughout life cycle. Three-dimensional processing algorithms are rapidly expanding in phenotyping programmes and decision-making for agronomic management. Several methods have already been tested, but practical implementations trade-off between equipment cost, computational resources needed fidelity accuracy reconstruction end-details needs to be assessed quantified. This study examined suitability...
New super-high-density (SHD) olive orchards designed for mechanical harvesting using over-the-row harvesters are becoming increasingly common around the world. Some studies regarding SHD have focused on effective removal of fruits; however, energy applied to canopy by machine that can result in fruit damage, structural damage or extra stress trees has been little studied. Using conventional analyses, this study investigates effects different nominal speeds and beating frequencies efficiency...
Variable rate application (VRA) is a crucial tool in precision agriculture, utilizing platforms such as Google Earth Engine (GEE) to access vast satellite image datasets and employ machine learning (ML) techniques for data processing. This research investigates the feasibility of implementing supervised ML models (random forest (RF), support vector (SVM), gradient boosting trees (GBT), classification regression (CART)) unsupervised k-means clustering GEE generate accurate management zones...
This paper set out to explore the precision agriculture (PA)-training needs of students studying in agricultural universities Euro-Mediterranean region (Greece, Italy, Portugal and Spain). SPARKLE is a Knowledge Alliance Project, funded by European Union (EU), one its main goals narrow innovation divide between entrepreneurship effective application sustainable PA. During project, research conducted all countries revealed differences PA-training university students. Additionally, this...
The feasibility of automated individual crop plant care in vegetable fields has increased, resulting improved efficiency and economic benefits. A systems-based approach is a key feature the engineering design mechanization that incorporates precision sensing techniques. objective this study was to new capabilities measure spacing under different test conditions (California, USA Andalucía, Spain). For study, three types optical sensors were used: an light-beam sensor (880 nm), Light Detection...
Precision Agriculture face the challenge of feeding an increasing population, maximizing yield while optimizing inputs [...]
The demands of a growing population and developing global economy will require an increase in agricultural yield 70% over the next 30 years. However, achieving this goal be challenging due to limited extension lands, prospect climate change need reduce inputs guarantee sustainability systems; it is only possible with sustainable intensification systems. Spraying drones are one available technologies could help meet goal. Presently, use spraying by both legal framework, that considers them as...