gazal2708 / UAV-for-Crop-Health-AnalysisLinks
UAV (Unmanned Aerial Vehicles) can be made capable of providing a health monitoring system for plants. High end cameras gives deep insights whether it is surveillance or any broadcast of events (filming and production). The key benefits of crop analysis includes identifying for plant diseases and crop health by inspecting its colour components. …
☆10Updated 5 years ago
Alternatives and similar repositories for UAV-for-Crop-Health-Analysis
Users that are interested in UAV-for-Crop-Health-Analysis are comparing it to the libraries listed below
Sorting:
- Task Allocation Strategy to distribute goals (in a decentralised manner) in a heterogeneous fleet considering, goals makespan, goals posi…☆11Updated 4 years ago
- Deep Reinforcement Learning Using AirSim and Keras☆12Updated 7 years ago
- A 3D environment visual simulation for UAVS. Such visual simulation is particularly useful for machine learning and computer vision techn…☆21Updated 5 years ago
- Path planning of dynamic environment with genetic algorithm and IR sensor☆10Updated 9 years ago
- Flying Cavalry Project - Ucan Kavalye Projesi☆15Updated 3 years ago
- This program aims to solve an MAPP problem raised in our published one paper on the Chinese Automation Conference (CAC 2021), and the pro…☆19Updated 2 years ago
- ☆10Updated 5 years ago
- A Novelty Approach to Emulate Field Data Captured by Unmanned Aerial Vehicles for Training Deep Learning Algorithms Used for Search-and-R…☆47Updated 4 years ago
- A Simulation System for Implementing and Testing Multi-Agent Reinforcement Learning Algorithms☆13Updated 3 years ago
- Multi robot path planning with Artificial Potential Functions☆15Updated 5 years ago
- In this project, we are trying to address this issue by developing a fully automated warehouse management that will minimize the drawback…☆14Updated 2 years ago
- Y. Ling, Y. Zhou and Q. Luo, "Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization", IEEE Access, vol. 5, pp…☆16Updated 3 years ago
- Investigation and simulation of carrying search and rescue missions with Particle Swarm Optimisation (PSO) for target searching and Genet…☆34Updated 5 years ago
- A*-based collision avoidance for UAV path planning☆38Updated 6 years ago
- The Manta v1 software architecture for Autonomous Underwater Vehicles (AUVs) - Master's thesis☆11Updated 3 years ago
- python visualization of the RRT algorithm in python using pygame☆19Updated 3 years ago
- A path-planning task for the summer school based on the Multiple Traveling Salesman Problem (MTSP)☆18Updated 3 years ago
- This repository implements various Search Based (Heuristic and Incremental) and Sampling Based (Multi Query and Single Query) motion plan…☆16Updated 2 years ago
- Self-Adaptive_Swarm_System(SASS) for 2019 IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS) Version. Paper: Self-…☆25Updated 6 months ago
- Drone 2D path planning, object detection and objects geo-localization for search and rescue applications.☆53Updated 5 years ago
- 3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)☆18Updated last year
- 🔮 Mastermind puzzle solver using Genetic Algorithm and Grid Search for optimization☆13Updated last year
- Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments☆53Updated 2 years ago
- Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in…☆10Updated 4 years ago
- Genetic optimization for multi agent coverage path planning☆23Updated 5 years ago
- Bachelor thesis project on autonomous path-planning for drones. Path planning is based on RRT family algorithms, and the motion/detection…☆29Updated last year
- Some evolutionary algorithms written in C++: Genetic Algorithm (GA) Multi-objective Evolutionary Algorithm (MOEA) Artificial Immune Syst…☆11Updated 10 years ago
- naive implementations of Multi-Agent Path Finding algorithms☆15Updated 2 weeks ago
- MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space…☆13Updated 4 years ago
- Case-Study on Reinforcement Learning for Intralogistics☆11Updated 4 years ago