Now, Kingfisher was tired of eating fish every day. One day, he decided to try something new and went on a hunt for frogs. After a few attempts, Kingfisher finally caught a frog and was excited to try it.

Shrimp is one of Malaysia’s leading aquaculture exports and a vital component of global food security. Yet, the industry is facing an escalating and often overlooked challenge—antimicrobial resistance (AMR). According to a recent review by Natrah et al. (2025), the extensive and, at times, indiscriminate use of antibiotics in shrimp farming has fueled the emergence of bacteria that no longer respond to conventional treatments, posing serious threats to shrimp production, human health, animal welfare, and environmental integrity.

Aquaculture—the farming of fish, shrimp, and other aquatic organisms—now accounts for nearly half of the world’s seafood supply, with countries such as China at the forefront. As the industry expands, so does the need for aquafeed, which is not only nutritious and cost-effective but also environmentally sustainable. At the heart of modern aquaculture’s success lies extrusion technology—an advanced method for producing high-performance aquatic feed.

In several counties, Vitex negundo have been claimed to have anti-inflammatory, analgesic, and antioxidant activities. It's frequently used in folk medicine for the treatment of various pain disorders. The methanol extract of Vitex negundo leaves was studied for its biological effects. To investigate different biological exertions of the methanol extract of Vitex negundo, the leaf extracts were obtained with pure methanol. In-vitro anti-oxidant activity was resolved using a DPPH radical scavenging assay. A clot lysis test was used to assess the (...) thrombolytic activity. Antiproliferative effects of DMSO Vitex negundo in cell lines acquired from human cervix adenocarcinoma (HeLa cells). Using the brine shrimp lethality bioassay method, the plant extracts were evaluated for cytotoxic action. LC50 values were determined through probit analysis of mortality percentages. In hole cross-test and open-field test, neuropharmacological activities of mice were assessed in mice. The findings revealed that Vitex negundo leaf extract possessed antioxidant effects, streptokinase exposed significant clot lysis and human cervix adenocarcinoma cells demonstrated mild cervical antiproliferative activity. Significant neuropharmacological action (antidepressant and anxiolytic) and cytotoxic action were shown by the methanol extract of Vitex negundo leaves. (shrink)

Crump et al.’s contribution to assessing whether decapods feel pain raises an important question: Is pain distributed unevenly across the order? The case for pain appears stronger in Pleocyemata than in Dendrobranchiata. Some studies report pain avoidance behaviors in Dendrobranchiata (Penaeidae) shrimp, but further studies are needed to determine whether the chemicals used are acting as analgesics to relieve pain, or as soporifics to reduce overall alertness. If the latter, the most farmed shrimp species may not require the (...) same level of protection as crabs, crayfish, and lobsters. (shrink)

Abstract: Fish are important for both nutritional and economic reasons. They are a good source of protein, vitamins, and minerals and play a significant role in human diets, especially in coastal and island communities. In addition, fishing and fish farming are major industries that provide employment and income for millions of people worldwide. Moreover, fish play a critical role in marine ecosystems, serving as prey for larger predators and helping to maintain the balance of aquatic food chains. Overall, fish play (...) a vital role in supporting human well-being and the health of our planet. . Fishes have a lots of types such that: Red Mullet, Sea Bass, Striped Red Mullet and Shrimp. Each of them has its own shape and characteristics that differ from other types. We proposed a system that recognize nine types of fishes using deep learning. We trained the model with a dataset that contain 9000 images that were slit into 6300 images for training, 1350 for validation and 1350 for testing. The proposed model achieved accuracy (99.68%), precision (99.69%), recall (99.68%), and f1-score (99.68%). This indicates that our proposed model can effectively predicate and classify different types of fish with very high accuracy. (shrink)

Abstract: Accurate identification of marine species is critical for effective fishery management, biodiversity conservation, and the aquaculture industry. Traditional methods of fish identification rely on expert knowledge and manual labor, making them time- consuming, expensive, and error-prone. In this research, we explore a machine learning-based approach to automate the classification of nine fish species using image recognition techniques. The fish species under study include Black Sea Sprat, Gilt- Head Bream, Horse Mackerel, Red Sea Bream, Shrimp, Trout, Striped Red Mullet, (...) Sea Bass, and Red Mullet. We collected 1000 images per species, yielding a total of 9000 images, with 750 used for training and 250 reserved for testing. We utilized convolutional neural networks (CNNs) pre-trained on the ImageNet dataset and fine-tuned them to perform fish species classification. Preliminary experiments showed that CNNs, particularly transfer learning models like VGG16 and ResNet50, achieved accuracy rates as high as 98.6% on the test set. This research highlights the potential of deep learning in automating marine species identification, enabling faster, more reliable monitoring. (shrink)