Topic Review
Deep Learning Algorithms in Agriculture
The field of agriculture is one of the most important fields in which the application of deep learning still needs to be explored, as it has a direct impact on human well-being. In particular, there is a need to explore how deep learning models can be used as a tool for optimal planting, land use, yield improvement, production/disease/pest control, and other activities. The vast amount of data received from sensors in smart farms makes it possible to use deep learning as a model for decision-making in this field. In agriculture, no two environments are exactly alike, which makes testing, validating, and successfully implementing such technologies much more complex than in most other industries. 
  • 368
  • 18 Mar 2022
Topic Review
Ground Autonomous Vehicles for Agriculture
The available autonomous ground platforms developed by universities and research groups that were specifically designed to handle agricultural tasks was performed. As cost reduction and safety improvements are two of the most critical aspects for farmers, the development of autonomous vehicles can be of major interest, especially for those applications that are lacking in terms of mechanization improvements.
  • 362
  • 22 Aug 2022
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. 
  • 361
  • 06 Feb 2022
Topic Review
Deep Learning-based Fault Diagnosis of Electric Motors
Electric motors are used extensively in numerous industries, and their failure can result not only in machine damage but also a slew of other issues, such as financial loss, injuries, etc. As a result, there is a significant scope to use robust fault diagnosis technology. In recent years, interesting research results on fault diagnosis for electric motors have been documented. Deep learning in the fault detection of electric equipment has shown comparatively better results than traditional approaches because of its more powerful and sophisticated feature extraction capabilities.
  • 357
  • 09 Dec 2021
Topic Review
Innovations and Emerging Cooling Technologies for Greenhouses
The climate control inside the greenhouse constitutes an efficient methodology for maintaining a satisfactory environment that fulfills the requirements of high-yield crops and reduced energy and water resource consumption. In hot climates, the cooling systems, which are assisted by an effective control technique, constitute a suitable path for maintaining an appropriate climate inside the greenhouse, where the required temperature and humidity distribution is maintained.
  • 354
  • 11 Mar 2022
Topic Review
Phenolic Compounds
Phenolic compounds are phytochemicals with functions in pigmentation, astringency, protection against ultraviolet rays and antioxidant activity, being widely found in natural sources such as fruits, teas, spices, wine and honey. These compounds have received much attention in recent decades due to evidence related to positive health effects, such as anti-inflammatory, antimicrobial, antithrombotic, vasodilatory and cardioprotective activity, contributing to the improvement in metabolic markers associated with diabetes, hypertension and obesity.
  • 342
  • 30 Jun 2021
Topic Review
Sustainable Agriculture through Multidisciplinary Seed
Nanopriming can be a potential future target for sustainable agriculture with the current global supply versus demand trend. A fortification program consists of adding vitamins and minerals to processed foods as a public health measure to improve the nutritional quality of the food supply. The goal is to enhance the nutrient intake by the population.
  • 338
  • 26 Sep 2021
Topic Review
A city Multi-Floor Manufacturing Cluster
Multi-floor manufacturing cluster (MFMC) comprise production and service enterprises of various types of ownership, mainly SMEs, with different production orientations, with the presence of small-scale in-house equipment. This feature of MFMC promotes business competition, allowing for creating collaborative and networked organizations that can happen at some stages of development and can reach a level of a virtual manufacturing network based on Digital Twins models to fulfil customer orders.
  • 328
  • 28 Mar 2022
Topic Review
Applications of AMPs in Packaging
Antimicrobial Peptides can be defined as the molecules of the innate immune system present in all life forms, ranging from bacteria to human beings. The innate immune system is a defence system working non-specifically against injury or infection in the barrier surface. AMPs are composed of a sequence of amino acid ranging from 5 to 50 chains, usually L-amino acids.
  • 321
  • 13 Aug 2021
Topic Review
Avocado Peel Extracts in Topical Formulations
The avocado fruit, a derivative of the avocado tree of botanical name Persea americana Mill.. Avocado peel is a cheap and promising option for the retrieval of phenolic compounds, and it was reported that this by-product possesses higher total phenolic content, radical scavenging capacity, and antioxidant activity compared to the pulp. These results highlight the possibility of obtaining sustainable cosmetics, reducing significantly the negative impacts on the environment by the incorporation of extracts sourced from the avocado peel, an  interesting source of phenolic compounds, abundant and low-cost by-product.
  • 314
  • 18 Mar 2022
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