Sep 2026· International Journal of Data Science and Analysis· Vol 22· 0 citations· 207 references
TL;DR
This paper provides state-of-the-art applications of machine vision technology in agriculture, including crop pest and disease identification and monitoring, crop growth tracking and yield estimation, crop identification, precise positioning and harvesting, seed pre-harvest detection, crop quality grading, and visual navigation for agricultural robots.
This paper comprehensively reviews recent literature in the field of fruit and vegetable target recognition and summarizes how current research focuses on the implementation principles and directions for the improvement of mainstream methods while also identifying the remaining issues and challenges facing current tech...
Smart farming is a combination of sophisticated technologies that are used to maximize agricultural output and sustainability. Computer vision is one of these technologies that have become a force to be used in automating crop monitoring and yield prediction. This paper discusses the different computer vision technique...
Mandeep Kaur· Journal of Intelligent Decis...· 0 citations
With the development of society and the advancement of science and technology, the object detection technology driven by Artificial Intelligence is also constantly innovating. As an important task in the field of agricultural Computer Vision, fruit detection in real environments faces many challenges. This paper review...
Qi Liu, P. S. Sulaiman, Mas Rina Binti Mustaffa et al.· INMATEH Agricultural Enginee...· 0 citations
Weed infestation is a key biotic limitation on agricultural productivity. Weeds compete with crops for light, water, nutrients and space, while increasing production costs and, in many instances, functioning as reservoirs for pests. Traditional weed management is mainly dependent on manual, mechanical and blanket chemi...
A. Bodhale, S. Verma· International journal of com...· 0 citations
Agriculture faces major challenges such as weed growth, labor shortages, excessive fertilizer usage, and lack of real-time monitoring. This paper proposes an Autonomous Multi-Crop Weeding and Nutrient Management Machine using Artificial Intelligence (AI), Internet of Things (IoT), and embedded systems. The system uses...
D. Likitha, G. N., Keerthana C et al.· International Journal of Cre...· 0 citations
Nowadays, Japan’s agriculture is facing a ton of serious issues which is rapid aging farming population, labor shortages, and declining of interest among youth in the regarding sector. In order to address these issues, Japan promote artificial intelligence (AI) technologies in their agricultural industry. Firstly, AI a...
Kang-Qin Yip, Alias Abdullah, Asmadi Hassan et al.· International journal of res...· 0 citations
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