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Topic Review
Machine Learning for Crop Diseases and Pests
Rapid population growth has resulted in an increased demand for agricultural goods. Pests and diseases are major obstacles to achieving this productivity outcome. Therefore, it is very important to develop efficient methods for the automatic detection, identification, and prediction of pests and diseases in agricultural crops. To perform such automation, Machine Learning (ML) techniques can be used to derive knowledge and relationships from the data that is being worked on. 
  • 682
  • 16 Sep 2022
Topic Review
Low-Temperature Pretreatment of Biomass for Enhancing Biogas Production
Low-temperature pretreatment (LTPT, Temp. < 100 °C or 140 °C) has the advantages of low input, simplicity, and energy saving, which makes engineering easy to use for improving biogas production. However, compared with high-temperature pretreatment (>150 °C) that can destroy recalcitrant polymerized matter in biomass, the action mechanism of heat treatment of biomass is unclear. Improving LTPT on biogas yield is often influenced by feedstock type, treatment temperature, exposure time, and fermentation conditions. Such as, even when belonging to the same algal biomass, the response to LTPT varies between species. Therefore, forming a unified method for LTPT to be applied in practice is difficult.
  • 618
  • 31 Oct 2022
Topic Review
Lignin as Fermentation Substrate
Lignin is the most abundant material, and it can be used to produce value-added products such as lignin-modifying enzymes (LMEs), polyhydroxyalkanoates (PHAs), microbial lipids, vanillin, muconic acid, and many others.
  • 1.0K
  • 28 May 2021
Topic Review
Lightweight Fault-Detection Scheme for Solar Insecticidal Lamp IoTs
The Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention.
  • 219
  • 11 Aug 2023
Topic Review
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.
  • 348
  • 06 Jun 2023
Topic Review
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.
  • 489
  • 22 May 2023
Topic Review
Laser-Induced Breakdown Spectroscopy for Food Quality Evaluation
Laser-induced Breakdown Spectroscopy (LIBS) is becoming an increasingly popular analytical technique for characterizing and identifying various products; its multi-element analysis, fast response, remote sensing, and sample preparation is minimal or nonexistent, and low running costs can significantly accelerate the analysis of foods with medicinal properties (FMPs). 
  • 642
  • 28 Jul 2022
Topic Review
Land Use Land Cover Modeling
Land use land cover (LULC) modeling is considered as the best tool to comprehend and unravel the dynamics of future urban expansion.
  • 914
  • 06 Feb 2023
Topic Review
Irrigation-Water and Cotton
A decrease in water resources, as well as changing environmental conditions, calls for efficient irrigation-water management in cotton-production systems. Cotton (Gossypium sp.) is an important cash crop in many countries, and it is used more than any other fiber in the world. 
  • 919
  • 06 Feb 2022
Topic Review
IoT-Enabled Smart Agriculture
The growth of the global population coupled with a decline in natural resources, farmland, and the increase in unpredictable environmental conditions leads to food security is becoming a major concern for all nations worldwide. These problems are motivators that are driving the agricultural industry to transition to smart agriculture with the application of the Internet of Things (IoT) and big data solutions to improve operational efficiency and productivity. The IoT integrates a series of existing state-of-the-art solutions and technologies, such as wireless sensor networks, cognitive radio ad hoc networks, cloud computing, big data, and end-user applications. IoT is defined as the network of all objects that are embedded within devices, sensors, machines, software and people through the Internet environment to communicate, exchange information and interact in order to provide a comprehensive solution between the real world and the virtual world.
  • 1.2K
  • 01 Apr 2022
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