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 of Digital Solutions in Sugarcane Crop Production: A Review

JP Molin, MCF Wei, ERO da Silva - AgriEngineering, 2024 - mdpi.com
Over the years, agricultural management practices are being improved as they integrate
Information and Communication Technologies (ICT) and Precision Agriculture tools …

Irrigated pinto bean crop stress and yield assessment using ground based low altitude remote sensing technology

R Ranjan, AK Chandel, LR Khot, HY Bahlol… - Information Processing …, 2019 - Elsevier
The pinto bean is one of widely consumed legume crop that constitutes over 42% of the US
dry bean production. However, limited studies have been conducted in past to assess its …

Sugarcane nodes identification algorithm based on sum of local pixel of minimum points of vertical projection function

J Chen, J Wu, H Qiang, B Zhou, G Xu… - Computers and Electronics …, 2021 - Elsevier
Aiming at the difficulty of sugarcane nodes identification and location during automatic
cutting of sugarcane seeds, based on machine vision system, this paper proposed a …

[HTML][HTML] A new design of sugarcane seed cutting systems based on machine vision

D Zhou, Y Fan, G Deng, F He, M Wang - Computers and Electronics in …, 2020 - Elsevier
In order to realize anti-damage bud and automatic cutting of sugarcane in a single bud
segment, a sugarcane cutting system based on machine vision is designed. The seed …

Identification and localisation algorithm for sugarcane stem nodes by combining YOLOv3 and traditional methods of computer vision

D Zhou, W Zhao, Y Chen, Q Zhang, G Deng, F He - Sensors, 2022 - mdpi.com
Sugarcane stem node identification is the core technology required for the intelligence and
mechanization of the sugarcane industry. However, detecting stem nodes quickly and …

[HTML][HTML] A fuzzy logic algorithm derived mechatronic concept prototype for crop damage avoidance during eco-friendly eradication of intra-row weeds

SP Kumar, VK Tewari, AK Chandel, CR Mehta… - Artificial intelligence in …, 2020 - Elsevier
Crop damage during the intra-row weed eradiation is one of the biggest challenges in
intercultural agricultural operations. Several available mechanical systems provide effective …

Sugarcane-seed-cutting system based on machine vision in pre-seed mode

D Wang, R Su, Y Xiong, Y Wang, W Wang - Sensors, 2022 - mdpi.com
China is the world's third-largest producer of sugarcane, slightly behind Brazil and India. As
an important cash crop in China, sugarcane has always been the main source of sugar, the …

Sugarcane stem node detection based on wavelet analysis

M Chen, Q Xu, Q Cheng, Z Xiao, Y Luo, Y Huang… - IEEE …, 2021 - ieeexplore.ieee.org
The article discusses a wavelet-based approach for recognizing sugarcane stem nodes in
order to improve pre-cut sugarcane planting technology, beginning with sugarcane form …

Optimization of potato sprout orientation angle and effective weed management practice to produce higher economical tuber yield from cut tuber planting

CR Chethan, VK Tewari, AK Shrivastava, B Nare… - Potato Research, 2023 - Springer
Potato (Solanum tuberosum L.) is the third most important food crop in the world. The tuber
yield of potato is dependent on cultivar, cultivation and weed management practices. To …