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Apple scab is a fungal disease caused by Venturia inaequalis. Disease is of particular concern for growers, as it causes significant damage to fruit and leaves, leading to loss of fruit and yield. This article examines the ability of deep…

计算机视觉与模式识别 · 计算机科学 2023-02-20 Robert Rouš , Joseph Peller , Gerrit Polder , Selwin Hageraats , Thijs Ruigrok , Pieter M. Blok

Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards. One of the primary challenges is maintaining skilled human operators capable of making…

Accurate and consistent fruit monitoring over time is a key step toward automated agricultural production systems. However, this task is inherently difficult due to variations in fruit size, shape, occlusion, orientation, and the dynamic…

计算机视觉与模式识别 · 计算机科学 2026-04-10 Daniel Fusaro , Federico Magistri , Jens Behley , Alberto Pretto , Cyrill Stachniss

The economic and production losses in agricultural industry worldwide are due to the presence of diseases in the several kinds of fruits. In this paper, a method for the classification of fruit diseases is proposed and experimentally…

计算机视觉与模式识别 · 计算机科学 2014-12-24 Shiv Ram Dubey , Anand Singh Jalal

In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is still typically estimated by means of human visual…

计算机视觉与模式识别 · 计算机科学 2018-09-27 Philipe A. Dias , Amy Tabb , Henry Medeiros

Contemporary robots in precision agriculture focus primarily on automated harvesting or remote sensing to monitor crop health. Comparatively less work has been performed with respect to collecting physical leaf samples in the field and…

机器人学 · 计算机科学 2022-08-11 Merrick Campbell , Amel Dechemi , Konstantinos Karydis

Reliable large-scale data on the state of forests is crucial for monitoring ecosystem health, carbon stock, and the impact of climate change. Current knowledge of tree species distribution relies heavily on manual data collection in the…

计算机视觉与模式识别 · 计算机科学 2024-12-09 Hongjin Lin , Matthew Nazari , Derek Zheng

Modern day studies show a high degree of correlation between high yielding crop varieties and plants with upright leaf angles. It is observed that plants with upright leaf angles intercept more light than those without upright leaf angles,…

计算机视觉与模式识别 · 计算机科学 2024-08-02 Venkat Margapuri , Prapti Thapaliya , Trevor Rife

Estimating accurate and reliable fruit and vegetable counts from images in real-world settings, such as orchards, is a challenging problem that has received significant recent attention. Estimating fruit counts before harvest provides…

计算机视觉与模式识别 · 计算机科学 2022-08-25 Nicolai Häni , Pravakar Roy , Volkan Isler

There is a warning light for the loss of plant habitats worldwide that entails concerted efforts to conserve plant biodiversity. Thus, plant species classification is of crucial importance to address this environmental challenge. In recent…

计算机视觉与模式识别 · 计算机科学 2021-09-03 Boi M. Quach , Dinh V. Cuong , Nhung Pham , Dang Huynh , Binh T. Nguyen

India is an agriculture-dependent country. As we all know that farming is the backbone of our country it is our responsibility to preserve the crops. However, we cannot stop the destruction of crops by natural calamities at least we have to…

计算机视觉与模式识别 · 计算机科学 2019-08-27 S. Mohan Sai , G. Gopichand , C. Vikas Reddy , K. Mona Teja

Apple diseases, if not diagnosed early, can lead to massive resource loss and pose a serious threat to humans and animals who consume the infected apples. Hence, it is critical to diagnose these diseases early in order to manage plant…

计算机视觉与模式识别 · 计算机科学 2022-10-04 Kush Vora , Dishant Padalia

Forest mapping provides critical observational data needed to understand the dynamics of forest environments. Notably, tree diameter at breast height (DBH) is a metric used to estimate forest biomass and carbon dioxide sequestration. Manual…

计算机视觉与模式识别 · 计算机科学 2024-10-14 Adam Korycki , Cory Yeaton , Gregory S. Gilbert , Colleen Josephson , Steve McGuire

Orange grading is a crucial step in the fruit industry, as it helps to sort oranges according to different criteria such as size, quality, ripeness, and health condition, ensuring safety for human consumption and better price allocation and…

计算机视觉与模式识别 · 计算机科学 2025-03-28 Mohamed Lamine Mekhalfi , Paul Chippendale , Francisco Fraile , Marcos Rico

In fruit tree growth, pruning is an important management practice for preventing overcrowding, improving canopy access to light and promoting regrowth. Due to the slow nature of agriculture, decisions in pruning are typically made using…

计算机视觉与模式识别 · 计算机科学 2021-02-09 Fredrik Westling , James Underwood , Mitch Bryson

Biophysical models offer valuable insights into climate-phenology relationships in both natural and agricultural settings. However, there are substantial structural discrepancies across models which require site-specific recalibration,…

机器学习 · 计算机科学 2025-01-29 Ron van Bree , Diego Marcos , Ioannis Athanasiadis

Global plant maps of plant traits, such as leaf nitrogen or plant height, are essential for understanding ecosystem processes, including the carbon and energy cycles of the Earth system. However, existing trait maps remain limited by the…

The US apple industry relies heavily on semi-skilled manual labor force for essential field operations such as training, pruning, blossom and green fruit thinning, and harvesting. Blossom thinning is one of the crucial crop load management…

机器人学 · 计算机科学 2024-09-27 Uddhav Bhattarai , Qin Zhang , Manoj Karkee

Contemporary Artificial Intelligence technologies allow for the employment of Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting healthy fruit from undesirable fruit, such as those which are mouldy…

计算机视觉与模式识别 · 计算机科学 2021-04-13 Jordan J. Bird , Chloe M. Barnes , Luis J. Manso , Anikó Ekárt , Diego R. Faria

Pest and disease control plays a key role in agriculture since the damage caused by these agents are responsible for a huge economic loss every year. Based on this assumption, we create an algorithm capable of detecting rust (Hemileia…

计算机视觉与模式识别 · 计算机科学 2021-04-05 Alvaro Leandro Cavalcante Carneiro , Lucas de Brito Silva , Marisa Silveira Almeida Renaud Faulin