With limited retrieval of reserves and restricted capability in plant pathology, automation of processes becomes essential. All over the world, farmers are struggling to prevent various harm from bacteria or pathogens such as viruses, fungi, worms, protozoa, and insects. Deep learning is currently widely used across a wide range of applications, including desktop, web, and mobile. In this study, the authors attempt to implement the function of AlexNet modification architecture-based CNN on the Android platform to predict tomato diseases based on leaf image. A dataset with of 18,345 training data and 4,585 testing data was used to create the predictive model. The information is separated into ten labels for tomato leaf diseases, each with 64 × 64 RGB pixels. The best model using the Adam optimizer with a realizing rate of 0.0005, the number of epochs 75, batch size 128, and an uncompromising cross-entropy loss function, has a high model accuracy with an average of 98%, a strictness rate of 0.98, a recall value of 0.99, and an F1-count of 0.98 with a loss of 0.1331, so that the classification results are good and very precise.

The tandem metal inert gas (MIG) process uses two wires that are continuously fed through a special welding torch and disbursed to form a single molten pool. Within the contact tip of the modern approach, the wires are electrically insulated from one another. This study identified the effect of welding electrode spacing on the distortion of AA5052 aluminum plates and different mechanical properties including hardness and thermal cycle using grey relational analysis. Plate distortion was subsequently predicted using the grey prediction model GM (1, 6). This research used a pair of 400 mm × 75 mm × 5 mm of AA5052 plates and electrode distances of 18, 27, and 36 mm. The welding current, voltage, welding speed, and argon flow rate were 130 A, 23 V, 7 mm/s, and 17 L/min, respectively. The temperature was measured using a type-K thermocouple at 10, 20, 30, and 40 mm from the center of the weld bead. The smallest distortion at an electrode distance of 27 mm was 1.4 mm. At an electrode distance of 27 mm, the plate may reach a proper peak temperature where the amount of heat input and dissipation rate are similar to those for electrode distances of 18 mm and 36 mm. The highest relative VHN of 57 was found in the BM, while the lowest, 46, was found in the WM, showing good agreement with their respective grain sizes. Six parameters were designed using grey relational analysis (GRA) and subsequently employed in the grey prediction model GM (1, 6). Process evaluation results show that predictions for welding distortions are consistent with actual results, thus, the GM (1, 6) model can be used as a predictive model for welding distortions of 5052 aluminum plates.

Aluminium merupakan logam ringan yang mempunyai sifat ketahanan korosi dan mampu alir yang baik sehingga banyak digunakan dalam aplikasi alat-alat rumah tangga, otomotif maupun industri saat ini. Piston bekas digunakan untuk mendapatkan unsur Si yang cukup tinggi pada piston. Ilmu pengecoran logam terus berkembang dengan pesat dalam dunia industri. Berbagai macam metode pengecoran telah ditemukan dan disempurnakan, diantaranya centrifugal casting , investment casting, dan sand casting serta masih banyak lagi metode-metode lainnya. Paduan Aluminium akan dicor pada 3 jenis variasi suhu cetakan sehingga dengan perlakuan panas terhadap cetakan logam (dies) yaitu 450oC dan 500oC diharapkan mampu memperbaiki sifat getas yang ada pada aluminium. Temperatur dari variasi pemanasan suhu cetakan logam (die casting) dapat mempengaruhi dari sifat mekanik atau nilai kekuatan tarik dari suatu bahan dalam pembebanan dan sifat fisik atau stukturmikro pada paduan alumunium hasil peleburan. Pada penelitian ini dilakukan pengujian tarik dimana hasil pengujian maksimun terjadi pada pemanasan suhu cetakan 450˚C yang menghasilkan tegangan tarik maksimun rata-rata sebesar 774,74 N/mm2. Pengujian struktur mikro dengan hasil metalografi diperoleh stuktur mikro silikon austenit yang berbentuk jarum dan silikon primer yang berbentuk partikel kecil yang akan meningkatkan ketahanan aus material.Kata kunci : Aluminium, Cetakan logam (dies), Sifat Mekanik-Fisis, Paduan

The state-of-the-art Supply Chain (SC) becomes more complex and effective not only for the business viewpoint but also for environmental care and sustainability Despite the current progress in realizing how RFID systems can considerably advance agri-food maintenance, there is a major gap in the storyline relating to factors of RFID application in managing several forms of agri-food supply chain operations. Therefore, this study struggles to meet this gap by studying the key enablers and obstacles of using RFID techniques in agri-food supply chain operations using the IoT devices, group behavior, and ecosystem framework. Second, the effects of offline and online RFID deployment in measuring agriculture supply chain barriers. The goal of this work is to propose a systematic strategy block chain is a public unchangeable database that can be able to secure the data from any interference or any kind of revision. However, the record of the data is not making sure that the place of origin or record of ownership of any products. There is a need to model wherein every product which belongs to the different producers have their own private key for each product and has one smart contract. Our proposed solution using a Blockchain smart contract that allows the supply chain to traceability the products all over their whole life cycle as well as preserve the privacy.

The pharmaceutical counterfeit product problem has become a harmful problem for people in India and has drawn significant attention from everyone. It is very crucial for healthcare and daily life. The pharmaceutical industry and its supply chain are humongous and complex in management. The pharmaceutical industry and its supply chain are massive and complex in direction. It is very crucial for healthcare and daily life. Indian Pharmaceutical is the world’s 3rd largest by volume and 14th largest in value. Not only is it complex, but it is inherent with the challenges like lack of transparency, traceability, security trust, and risk of counterfeit drugs. Forgery of pharmaceutical goods could be highly profitable. During globalization, the growth of online pharmacies and fraud cases are significantly increasing, leading to high death rates. Although there have been many studies on blockchain adoption in pharma supply chain management globally, it has been seen studies do not entirely investigate highlights. The advantages of blockchain enablers in pharmaceutical industries within India benefit the supply chain management performance. Therefore, this study bridges the research gap and analysis the enabler of the Blockchain technology and its adoption to have a sustainable supply chain. The study sheds light on how blockchain technology reduces the risks at each segment of the supply chain nodes. In addition, it also makes recommendations for deploying smart contracts in the pharmaceutical sector, which helps detect counterfeit goods to improve supply chain performance.