Neutral weed communities: The intersection between crop productivity, biodiversity, and weed ecosystem services

M Esposito, AS Westbrook, A Maggio, V Cirillo… - Weed Science, 2023 - cambridge.org
Weeds are a fundamental component of agroecosystems and, if not appropriately managed,
can cause severe crop yield losses. New perspectives on weed management are required …

Efficient pollen grain classification using pre-trained Convolutional Neural Networks: a comprehensive study

MA Rostami, B Balmaki, LA Dyer, JM Allen… - Journal of Big Data, 2023 - Springer
Pollen identification is necessary for several subfields of geology, ecology, and evolutionary
biology. However, the existing methods for pollen identification are laborious, time …

Modern approaches for leveraging biodiversity collections to understand change in plant-insect interactions

B Balmaki, MA Rostami, T Christensen… - Frontiers in Ecology …, 2022 - frontiersin.org
Research on plant-pollinator interactions requires a diversity of perspectives and
approaches, and documenting changing pollinator-plant interactions due to declining insect …

GinJinn2: Object detection and segmentation for ecology and evolution

T Ott, U Lautenschlager - Methods in Ecology and Evolution, 2022 - Wiley Online Library
Collection and preparation of empirical data still represent one of the most important, but
also expensive steps in ecological and evolutionary/systematic research. Modern machine …

Yabancı Otlar ile Mücadelede Güncel Yöntem: Robotikler

EŞ Çolak, D Işık - Turkish Journal of Weed Science, 2021 - dergipark.org.tr
Dünya üzerinde tarımsal üretim, insanlığın var oluşundan itibaren, üretim metodları
değişebilse de temelde insanların yaşamlarını sürdürme mücadelesidir. Tarımsal üretimde …

A state-of-the-art review of image motion deblurring techniques in precision agriculture

Y Huihui, L Daoliang, C Yingyi - Heliyon, 2023 - cell.com
Image motion deblurring is a crucial technology in computer vision that has gained
significant attention attracted by its outstanding ability for accurate acquisition of motion …

SPAGRI-AI: Smart precision agriculture dataset of aerial images at different heights for crop and weed detection using super-resolution

M Jonak, J Mucha, S Jezek, D Kovac, K Cziria - Agricultural Systems, 2024 - Elsevier
CONTEXT Recently, smart agriculture has become an essential part of modern agriculture
approaches from tillage, via plant seeding and grow support to their collection. With modern …

A Survey of Weed Identification Using Convolutional Neural Networks

N Shekhawat, S Verma, A Vijayvargiya… - … of Research on …, 2023 - igi-global.com
Weeds are the major source of concern for farmers, who anticipate that weeds may lower
crop productivity. Thus, it is essential and vital to detect weeds. Traditional weed …

Dataset Generation and Automation to Detect Colony of Morning Glory at Growing Season Using Alignment of Two Season's Orthomosaic Images Taken by Drone

Y Hirata, S Tsuichihara, Y Takahashi… - Journal of Robotics and …, 2024 - jstage.jst.go.jp
Weed control is an important task in crop cultivation [1]. Weed control is necessary to ensure
stable crop yields, and weed management techniques have attracted attention in the field of …

[PDF][PDF] Chancen und Risiken der Digitalisierung in der Landwirtschaft aus Sicht des Umwelt-und Naturschutzes: Ergebnisse aus dem gleichnamigen Projekt (FKZ …

L Kliem, T Krachunova, S Lange, J Wagner… - 2023 - bfn.bsz-bw.de
Die Digitalisierung ist einer der prägendsten globalen Megatrends unserer Zeit. Sie zeigt
Auswirkungen in nahezu allen gesellschaftlichen Bereichen und beeinflusst unser aller …