Applications of remote sensing in precision agriculture: A review

RP Sishodia, RL Ray, SK Singh - Remote sensing, 2020 - mdpi.com
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …

A survey of deep learning techniques for weed detection from images

ASMM Hasan, F Sohel, D Diepeveen, H Laga… - … and electronics in …, 2021 - Elsevier
The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …

From smart farming towards agriculture 5.0: A review on crop data management

V Saiz-Rubio, F Rovira-Más - Agronomy, 2020 - mdpi.com
The information that crops offer is turned into profitable decisions only when efficiently
managed. Current advances in data management are making Smart Farming grow …

Sustainable crop and weed management in the era of the EU Green Deal: A survival guide

A Tataridas, P Kanatas, A Chatzigeorgiou… - Agronomy, 2022 - mdpi.com
Agricultural systems in the EU have become more vulnerable and less sustainable due to an
overreliance on herbicides and the tremendous increase in herbicide-resistant weeds. The …

A deep learning approach for weed detection in lettuce crops using multispectral images

K Osorio, A Puerto, C Pedraza, D Jamaica… - AgriEngineering, 2020 - mdpi.com
Weed management is one of the most important aspects of crop productivity; knowing the
amount and the locations of weeds has been a problem that experts have faced for several …

Digital technology and services for sustainable agriculture in Tanzania: A literature review

GE Mushi, G Di Marzo Serugendo, PY Burgi - Sustainability, 2022 - mdpi.com
Digital technology has the potential to eradicate extreme poverty and food insecurity to the
majority of smallholder farmers in the world. This paper aims to identify knowledge gaps on …

Environmental assessment of digitalisation in agriculture: A systematic review

C Huck, A Gobrecht, T Salou, V Bellon-Maurel… - Journal of Cleaner …, 2024 - Elsevier
Since the agricultural sector is one of the main drivers responsible for the transgression of
planetary boundaries, there is an urgent need to reduce its environmental impacts. To …

[HTML][HTML] Towards automated weed detection through two-stage semantic segmentation of tobacco and weed pixels in aerial Imagery

SI Moazzam, US Khan, WS Qureshi, T Nawaz… - Smart Agricultural …, 2023 - Elsevier
In precision farming, weed detection is required for precise weedicide application, and the
detection of tobacco crops is necessary for pesticide application on tobacco leaves …

Seeding a Sustainable Future: Navigating the Digital Horizon of Smart Agriculture

S Balyan, H Jangir, SN Tripathi, A Tripathi, T Jhang… - Sustainability, 2024 - mdpi.com
Agriculture is essential to the existence of the human race, as well as the foundation of our
civilization, because it provides food, fuel, fiber, and other resources necessary for survival; …

Weed recognition using deep learning techniques on class-imbalanced imagery

ASMM Hasan, F Sohel, D Diepeveen… - Crop and Pasture …, 2022 - CSIRO Publishing
Context Most weed species can adversely impact agricultural productivity by competing for
nutrients required by high-value crops. Manual weeding is not practical for large cropping …