Integration of innovative technologies in the agri-food sector: the fundamentals and practical case of DNA-based traceability of olives from fruit to oil

R Ben Ayed, M Hanana, S Ercisli, R Karunakaran… - Plants, 2022 - mdpi.com
Several socio-economic problems have been hidden by the COVID-19 pandemic crisis.
Particularly, the agricultural and food industrial sectors have been harshly affected by this …

A conceptual evaluation of a weed control method with post-damage application of herbicides: A composite intelligent intra-row weeding robot

W Jiang, L Quan, G Wei, C Chang, T Geng - Soil and tillage research, 2023 - Elsevier
Weed management is an important part of crop production. Efficient weeding can help
increase the yield and quality of crops. However, traditional weeding methods often fail to …

Challenges and emerging opportunities for weed management in organic agriculture

M Dhakal, G Zinati, M Fulcher, D Fornara, E Martani… - Advances in …, 2024 - Elsevier
Weed control is the most difficult and enduring challenge in organic crop production
systems. Managing weeds below economic thresholds is critical since most growers face …

Intrarow uncut weed detection using you-only-look-once instance segmentation for orchard plantations

RM Sampurno, Z Liu, RMRD Abeyrathna, T Ahamed - Sensors, 2024 - mdpi.com
Mechanical weed management is a drudging task that requires manpower and has risks
when conducted within rows of orchards. However, intrarow weeding must still be conducted …

Resource conserving mechanization technologies for dryland agriculture

N Kumar, G Upadhyay, S Choudhary, B Patel… - Enhancing resilience of …, 2023 - Springer
The continuous deterioration in natural resources and climate change has put enormous
challenges before researchers to further improve the crop productivity to meet the food …

Mechanical control with a deep learning method for precise weeding on a farm

CL Chang, BX **e, SC Chung - Agriculture, 2021 - mdpi.com
This paper presents a mechanical control method for precise weeding based on deep
learning. Deep convolutional neural network was used to identify and locate weeds. A …

Effects of reduced chemical application by mechanical-chemical synergistic weeding on maize growth and yield in East China

H Fang, M Niu, X Wang, Q Zhang - Frontiers in Plant Science, 2022 - frontiersin.org
There is growing concern about the environmental impact of chemicals and the long-term
effects of mechanical weeding, which inhibits weed regrowth. Mechanical-chemical synergy …

Modelling specific energy requirement for a power-operated vertical axis rotor type intra-row weeding tool using Artificial Neural Network

SP Kumar, VK Tewari, AK Chandel, CR Mehta… - Applied Sciences, 2023 - mdpi.com
Specific energy prediction is critically important to enhance field performance of agricultural
implements. It enables optimal utilization of tractor power, reduced inefficiencies, and …

An integrated inter-and intra-row weeding system for row crops

NS Chandel, AK Chandel, AK Roul, KR Solanke… - Crop Protection, 2021 - Elsevier
Weeding is critical to eliminate non-native plants that compete with main crops and
adversely affect their production quality and quantity. Numerous prototypes exist for inter …

[HTML][HTML] Mechanical Inter-and Intra-Row Weed Control for Small-Scale Vegetable Producers

A Trajkovski, J Bartolj, T Levstek, T Godeša, M Sečnik… - Agriculture, 2024 - mdpi.com
Small-scale vegetable producers often do not have modern mechanical equipment; as a
result, a significant amount of inter-row and all intra-row weeding is performed manually …