Smart farming in Europe

V Moysiadis, P Sarigiannidis, V Vitsas, A Khelifi - Computer science review, 2021 - Elsevier
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …

[HTML][HTML] A review of high-throughput field phenoty** systems: focusing on ground robots

R Xu, C Li - Plant phenomics, 2022 - spj.science.org
Manual assessments of plant phenotypes in the field can be labor-intensive and inefficient.
The high-throughput field phenoty** systems and in particular robotic systems play an …

[HTML][HTML] How artificial intelligence uses to achieve the agriculture sustainability: Systematic review

V Sachithra, L Subhashini - Artificial Intelligence in Agriculture, 2023 - Elsevier
The generation of food production that meets the rising demand for food and ecosystem
security is a big challenge. With the development of Artificial Intelligence (AI) models, there …

Active perception fruit harvesting robots—A systematic review

SA Magalhães, AP Moreira, FN Santos… - Journal of Intelligent & …, 2022 - Springer
This paper studies the state-of-the-art of active perception solutions for manipulation in
agriculture and suggests a possible architecture for an active perception system for …

A comprehensive review on current issues and advancements of Internet of Things in precision agriculture

S Dhanasekar - Computer Science Review, 2025 - Elsevier
Abstract The Internet of Things (IoT) is the basis of smart agriculture technology since it
connects all aspects of intelligent systems in other industries and agricultural applications …

Visual trunk detection using transfer learning and a deep learning-based coprocessor

AS Aguiar, FN Dos Santos, AJM De Sousa… - IEEE …, 2020 - ieeexplore.ieee.org
Agricultural robotics is nowadays a complex, challenging, and exciting research topic. Some
agricultural environments present harsh conditions to robotics operability. In the case of …

Path planning aware of robot's center of mass for steep slope vineyards

L Santos, F Santos, J Mendes, P Costa, J Lima, R Reis… - Robotica, 2020 - cambridge.org
Steep slope vineyards are a complex scenario for the development of ground robots.
Planning a safe robot trajectory is one of the biggest challenges in this scenario …

Vineyard Zoning and Vine Detection Using Machine Learning in Unmanned Aerial Vehicle Imagery

M Gavrilović, D Jovanović, P Božović, P Benka… - Remote Sensing, 2024 - mdpi.com
Precision viticulture systems are essential for enhancing traditional intensive viticulture,
achieving high-quality results, and minimizing costs. This study explores the integration of …

Design and experiments with a SLAM system for low-density canopy environments in greenhouses based on an improved Cartographer framework

H Tan, X Zhao, C Zhai, H Fu, L Chen… - Frontiers in plant …, 2024 - frontiersin.org
To address the problem that the low-density canopy of greenhouse crops affects the
robustness and accuracy of simultaneous localization and map** (SLAM) algorithms, a …

[HTML][HTML] A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

F Portela, JJ Sousa, C Araújo-Paredes, E Peres… - Sensors, 2024 - mdpi.com
Grapevines (Vitis vinifera L.) are one of the most economically relevant crops worldwide, yet
they are highly vulnerable to various diseases, causing substantial economic losses for …