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Precision agriculture is area with lack of cheap technology. The refinement of the production system brings large advantages to the producer and the use of images makes the monitoring a more cheap methodology. Macronutrients monitoring can…

神经与进化计算 · 计算机科学 2014-03-13 Maicon A. Sartin , Alexandre C. R. da Silva

Crops, fisheries and livestock form the backbone of global food production, essential to feed the ever-growing global population. However, these sectors face considerable challenges, including climate variability, resource limitations, and…

计算机视觉与模式识别 · 计算机科学 2026-05-06 Umair Nawaz , Muhammad Zaigham Zaheer , Ufaq Khan , Fahad Shahbaz Khan , Hisham Cholakkal , Salman Khan , Rao Muhammad Anwer

Fruit tree image segmentation is an essential problem in automating a variety of agricultural tasks such as phenotyping, harvesting, spraying, and pruning. Many research papers have proposed a diverse spectrum of solutions suitable to…

计算机视觉与模式识别 · 计算机科学 2024-12-20 Il-Seok Oh

An effective perception system is a fundamental component for farming robots, as it enables them to properly perceive the surrounding environment and to carry out targeted operations. The most recent methods make use of state-of-the-art…

计算机视觉与模式识别 · 计算机科学 2021-09-07 Mulham Fawakherji , Ciro Potena , Alberto Pretto , Domenico D. Bloisi , Daniele Nardi

Crop mapping is one of the most common tasks in artificial intelligence for agriculture due to higher food demands from a growing population and increased awareness of climate change. In case of vineyards, the texture is very important for…

计算机视觉与模式识别 · 计算机科学 2023-11-23 Irina Korotkova , Natalia Efremova

Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat every plant in the field individually and thus can reduce the…

计算机视觉与模式识别 · 计算机科学 2018-06-12 Philipp Lottes , Jens Behley , Nived Chebrolu , Andres Milioto , Cyrill Stachniss

Segmentation in dynamic outdoor environments can be difficult when the illumination levels and other aspects of the scene cannot be controlled. Specifically in orchard and vineyard automation contexts, a background material is often used to…

计算机视觉与模式识别 · 计算机科学 2018-04-04 Amy Tabb , Henry Medeiros

Autonomous driving is a challenging scenario for image segmentation due to the presence of uncontrolled environmental conditions and the eventually catastrophic consequences of failures. Previous work suggested that a biologically motivated…

计算机视觉与模式识别 · 计算机科学 2026-04-01 Pablo Hernández-Cámara , Jorge Vila-Tomás , Paula Dauden-Oliver , Nuria Alabau-Bosque , Valero Laparra , Jesús Malo

Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead, identifying weed-infested regions can aid selective…

计算机视觉与模式识别 · 计算机科学 2021-02-22 Shantam Shorewala , Armaan Ashfaque , Sidharth R , Ujjwal Verma

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit the adoption of large-scale machinery. In…

机器人学 · 计算机科学 2025-05-13 Alessandro Navone , Mauro Martini , Marcello Chiaberge

Pruning is the art of cutting unwanted and unhealthy plant branches and is one of the difficult tasks in the field robotics. It becomes even more complex when the plant branches are moving. Moreover, the reproducibility of robot pruning…

机器人学 · 计算机科学 2020-12-15 Sunny Katyara , Fanny Ficuciello , Darwin G. Caldwell , Fei Chen , Bruno Siciliano

Plants are fundamentally important to life. Key research areas in plant science include plant species identification, weed classification using hyper spectral images, monitoring plant health and tracing leaf growth, and the semantic…

计算机视觉与模式识别 · 计算机科学 2020-09-15 K. K. Thyagharajan , I. Kiruba Raji

The advancements in precision agriculture are vital to support the increasing demand for global food supply. Precision spot spraying is a major step towards reducing chemical usage for pest and weed control in agriculture. A novel spot…

With the advancements in machine learning (ML) methods and compute resources, artificial intelligence (AI) empowered systems are becoming a prevailing technology. However, current AI technology such as deep learning is not flawless. The…

机器学习 · 计算机科学 2023-01-10 Pin-Yu Chen , Payel Das

Dormant pruning of fruit trees is an important task for maintaining tree health and ensuring high-quality fruit. Due to decreasing labor availability, pruning is a prime candidate for robotic automation. However, pruning also represents a…

Plant diseases are major causes of production losses and may have a significant impact on the agricultural sector. Detecting pests as early as possible can help increase crop yields and production efficiency. Several robotic monitoring…

机器人学 · 计算机科学 2023-08-29 Adi Yehoshua , Yael Edan

One of the fundamental challenges in the design of perception systems for autonomous vehicles is validating the performance of each algorithm under a comprehensive variety of operating conditions. In the case of vision-based semantic…

计算机视觉与模式识别 · 计算机科学 2019-04-17 Wei Zhou , Julie Stephany Berrio , Stewart Worrall , Eduardo Nebot

Objectives. Sustainable management of plant diseases is an open challenge which has relevant economic and environmental impact. Optimal strategies rely on human expertise for field scouting under favourable conditions to assess the current…

计算机视觉与模式识别 · 计算机科学 2021-12-22 Alessandro Benfenati , Paola Causin , Roberto Oberti , Giovanni Stefanello

Crops for food, feed, fiber, and fuel are key natural resources for our society. Monitoring plants and measuring their traits is an important task in agriculture often referred to as plant phenotyping. Traditionally, this task is done…

计算机视觉与模式识别 · 计算机科学 2024-01-18 Gianmarco Roggiolani , Federico Magistri , Tiziano Guadagnino , Jens Behley , Cyrill Stachniss

Planktonic organisms are key components of aquatic ecosystems and respond quickly to changes in the environment, therefore their monitoring is vital to understand the changes in the environment. Yet, monitoring plankton at appropriate…