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Agricultural Vehicle Path Tracking Control
Vehicle models are grouped into numerous types based on the structural characteristics and working conditions, including wheeled tractors, tracked tractors, rice transplanters, high clearance sprays, agricultural robots, agricultural tractor–trailers, etc.
21 Jun 2023
Architectural Design and Structural Analysis for Steel–Glass Structures
It is well known that finite element analysis (FEA) is a powerful tool when it comes to the design and analysis of complex structures for various load combinations, including light steel curve members. FEA simulations can provide valuable insights into the behaviour of light steel curved members under different load combinations. This enables designers to optimise designs for strength, safety, and cost-effectiveness. Using two commercial 3D software programs, Rhino 7 and Strand7, to complete the FEA simulation of light steel curved members.
09 Jun 2023
Lightweight Model for Wheat Disease Detection
As technology evolves, mobile devices are becoming more sophisticated. Lightweight networks have great potential and advantages in agricultural disease detection. The lightweight network model has the characteristics of high precision, few parameters, and high computing cost, and can serve scenarios with limited computing resources such as mobile devices and embedded systems.
06 Jun 2023
Stabilization of Rice Bran
One of the major problems in food science is meeting the demand of the world’s growing population, despite environmental limitations such as climate change, water scarcity, land degradation, marine pollution, and desertification. Preventing food from going to waste and utilizing nutritive by-products as food rather than feed are easy and powerful strategies for overcoming this problem. Rice is an important staple food crop for more than half of the world’s population and substantial quantities of rice bran emerge as the main by-product of rice grain milling. Usually, rice bran is used as animal feed or discarded as waste. Although it is highly nutritious and comprises many bioactive compounds with considerable health benefits, the rapid deterioration of bran limits the exploitation of the full potential of rice bran. Hydrolytic rancidity is the main obstacle to using rice bran as food, and the enzyme inactivation process, which is termed stabilization, is the only way to prevent it.
24 May 2023
Leveraging IoT and AI for Climate-Resilient Agriculture
Climate change poses significant challenges to global food security, but there are also opportunities to adapt and mitigate its impacts. Developing climate-resilient crops, improving farming practices, and promoting sustainable food systems can all help to build more resilient food systems that can withstand the impacts of climate change. The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies that can play a crucial role in making agriculture more climate-resilient. This research explores the challenges and opportunities associated with climate change and global food security, and highlights the potential of IoT and AI to revolutionize agriculture and promote climate resilience. The research also provides recommendations for policymakers and stakeholders to leverage the potential of these technologies and build a more resilient and sustainable global food system.
22 May 2023
Discrete Element Method in Soil–Plant–Machine Interactions
The discrete element method (DEM) is a promising numerical method that can simulate dynamic behaviors of particle systems at micro levels of individual particles and at macro levels of bulk material.
10 May 2023
Solar Energy Potential and Solar Irrigation in Pakistan
Pakistan faces water scarcity and high operational costs for traditional irrigation systems, hindering agricultural productivity. Solar-powered irrigation systems (SPIS) can potentially provide a sustainable and affordable solution, but face technical, financial and policy barriers to adoption.
06 May 2023
Detection of Seed Vigor Based on Optical Methods
Optics is an ancient science, with the advancement of laser technology, optical engineering, and information technology, optical detection technology has gained a resurgence. The theoretical basis for the application of modern optical methods to the detection of seed vigor is that light irradiation on the surface of seeds will produce reflection, scattering, and transmission phenomena, accompanied by changes in parameters such as frequency, phase, and polarization state. In different vigor stages, the contents and content of nucleic acid, starch, enzyme, and protein inside the seed have a predictable change, and the reflected, scattered, and transmitted light information generated by the interaction with the light field can inform the internal composition and quality of the seed. Existing optical detection methods for seed vitality mainly include machine vision detection, near-infrared spectroscopy, hyperspectral detection, Raman spectroscopy, fluorescence spectroscopy, and seed exhalation gas spectroscopy.
04 May 2023
Precision Livestock Farming Applications for Grazing Animals
Precision Livestock Farming refers to the real-time continuous monitoring and control systems using sensors and computer algorithms for early problem detection, while simultaneously increasing producer awareness concerning individual animal needs. These technologies include automatic weighing systems, Radio Frequency Identification (RFID) sensors for individual animal detection and behaviour monitoring, body temperature monitoring, geographic information systems (GIS) for pasture evaluation and optimization, unmanned aerial vehicles (UAVs) for herd management, and virtual fencing for herd and grazing management.
28 Apr 2023
AI in Improving the Sustainability of Agricultural Crops
The rapid growth of the world’s population has put significant pressure on agriculture to meet the increasing demand for food. In this context, agriculture faces multiple challenges, one of which is weed management. While herbicides have traditionally been used to control weed growth, their excessive and random use can lead to environmental pollution and herbicide resistance. To address these challenges, in the agricultural industry, deep learning models have become a possible tool for decision-making by using massive amounts of information collected from smart farm sensors.
26 Apr 2023
Featured Entry Collections
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