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In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Akshay L Chandra , Sai Vikas Desai , Wei Guo , Vineeth N Balasubramanian

Plant phenotyping, that is, the quantitative assessment of plant traits including growth, morphology, physiology, and yield, is a critical aspect towards efficient and effective crop management. Currently, plant phenotyping is a manually…

Computer Vision and Pattern Recognition · Computer Science 2021-04-15 Annalisa Milella , Roberto Marani , Antonio Petitti , Giulio Reina

Agricultural production is facing severe challenges in the next decades induced by climate change and the need for sustainability, reducing its impact on the environment. Advancements in field management through non-chemical weeding by…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Elias Marks , Jonas Bömer , Federico Magistri , Anurag Sah , Jens Behley , Cyrill Stachniss

Monitoring plant health is crucial for maintaining agricultural productivity and food safety. Disruptions in the plant's normal state, caused by diseases, often interfere with essential plant activities, and timely detection of these…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Jai Vardhan , Kothapalli Sai Swetha

Automatic monitoring of tree plantations plays a crucial role in agriculture. Flawless monitoring of tree health helps farmers make informed decisions regarding their management by taking appropriate action. Use of drone images for…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Yashwanth Karumanchi , Gudala Laxmi Prasanna , Snehasis Mukherjee , Nagesh Kolagani

Accurate reconstruction of plant models for phenotyping analysis is critical for optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-based phenotyping, while valuable, falls short of understanding…

Robotics · Computer Science 2024-02-16 Yaoqiang Pan , Kewei Hu , Tianhao Liu , Chao Chen , Hanwen Kang

We present a contact-based phenotyping robot platform that can autonomously insert nitrate sensors into cornstalks to proactively monitor macronutrient levels in crops. This task is challenging because inserting such sensors requires…

Robotics · Computer Science 2023-11-08 Moonyoung Lee , Aaron Berger , Dominic Guri , Kevin Zhang , Lisa Coffee , George Kantor , Oliver Kroemer

Crop monitoring is crucial for maximizing agricultural productivity and efficiency. However, monitoring large and complex structures such as sweet pepper plants presents significant challenges, especially due to frequent occlusions of the…

Robotics · Computer Science 2023-08-16 Tobias Zaenker , Julius Rückin , Rohit Menon , Marija Popović , Maren Bennewitz

Quantifying organism-level phenotypes, such as growth dynamics and biomass accumulation, is fundamental to understanding agronomic traits and optimizing crop production. However, quality growing data of plants at scale is difficult to…

Quantitative Methods · Quantitative Biology 2025-07-10 Adam J Riesselman , Evan M Cofer , Therese LaRue , Wim Meeussen

Street-level imagery holds a significant potential to scale-up in-situ data collection. This is enabled by combining the use of cheap high quality cameras with recent advances in deep learning compute solutions to derive relevant thematic…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Raphaël d'Andrimont , Momchil Yordanov , Laura Martinez-Sanchez , Marijn van der Velde

The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, lack of workers, and the availability of arable land. Vision…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Jan Weyler , Federico Magistri , Elias Marks , Yue Linn Chong , Matteo Sodano , Gianmarco Roggiolani , Nived Chebrolu , Cyrill Stachniss , Jens Behley

Indoor gardening within sustainable buildings offers a transformative solution to urban food security and environmental sustainability. By 2030, urban farming, including Controlled Environment Agriculture (CEA) and vertical farming, is…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Seyed Hamidreza Nabaei , Zeyang Zheng , Dong Chen , Arsalan Heydarian

With the need to feed a growing world population, the efficiency of crop production is of paramount importance. To support breeding and field management, various characteristics of the plant phenotype need to be measured -- a time-consuming…

Automated high throughput plant phenotyping involves leveraging sensors, such as RGB, thermal and hyperspectral cameras (among others), to make large scale and rapid measurements of the physical properties of plants for the purpose of…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Chao Ren , Justin Dulay , Gregory Rolwes , Duke Pauli , Nadia Shakoor , Abby Stylianou

In precision agriculture, integrating advanced technologies is crucial for optimizing plant growth and health monitoring. Cyber-physical system (CPS) platforms tailored to specific agricultural environments have emerged, but the diversity…

Systems and Control · Electrical Eng. & Systems 2024-10-10 Pawan Kumar , Hokeun Kim

Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and…

Computer Vision and Pattern Recognition · Computer Science 2016-04-18 Sharada Prasanna Mohanty , David Hughes , Marcel Salathe

High-throughput plant phenotyping, the quantitative measurement of observable plant traits, is critical for modern breeding but remains constrained by a "phenotyping bottleneck," where manual data collection is labor-intensive and prone to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Abderrahmene Boudiaf , Sajd Javed

As one of the most widely cultivated and consumed crops, wheat is essential to global food security. However, wheat production is increasingly challenged by pests, diseases, climate change, and water scarcity, threatening yields.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-05 Fadi Abdeladhim Zidi , Abdelkrim Ouafi , Fares Bougourzi , Cosimo Distante , Abdelmalik Taleb-Ahmed

The use of multiple camera technologies in a combined multimodal monitoring system for plant phenotyping offers promising benefits. Compared to configurations that only utilize a single camera technology, cross-modal patterns can be…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Eric Stumpe , Gernot Bodner , Francesco Flagiello , Matthias Zeppelzauer

The future landscape of modern farming and plant breeding is rapidly changing due to the complex needs of our society. The explosion of collectable data has started a revolution in agriculture to the point where innovation must occur. To a…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Saeed Khaki , Hieu Pham , Ye Han , Wade Kent , Lizhi Wang
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