Smart farming is a hot research area for experts globally to fulfill the soaring demand food. Automated approaches, based on convolutional neural networks (CNN), crop disease identification, weed classification, and monitoring have substantially helped increase yields. Plant diseases pests are posing significant danger health of plants, thus causing reduction in production. The cotton crop, major cash Asian African countries affected by different types weeds leading reduced yield. Weeds...

Plant diseases can have profound effects on the economy, impacting both local and global scales. These lead to substantial losses in agricultural productivity, affecting crop yields quality. In this context, deep learning algorithms are widely acknowledged as effective solutions. However, use of these black-box approaches raises concerns about trust interpreting validating decisions generated by models. This study proposes an explainable artificial intelligence (XAI) based plant disease...

The agricultural industry is experiencing revolutionary changes through the latest advances in artificial intelligence and deep learning-based technologies. These powerful tools are being used for a variety of tasks including crop yield estimation, maturity assessment, disease detection. cotton an essential source revenue many countries highlighting need to protect it from deadly diseases that can drastically reduce yields. Early accurate detection quite crucial preventing economic losses...

ABSTRACT Water is one of the most critical resources for maintaining life. Although it makes upto 70% Earth’s surface but only a small amount usable. Since water used variety functions, its quality must be determined before usage. The rapid increase world’s population has also had significant influence on environment, particularly quality. been deteriorating in recent years due to various pollutants. To control pollution, modeling and predicting become crucial need. In this work, we propose...

The developing countries are challenged with overbilling and underbilling, due to manual meter reading, which results in consumer dissatisfaction loss of revenue. existing automated reading (AMR) solutions expensive; hence, sample-based snap auditing systems introduced control such inaccuracies. In these systems, the reader, besides also collects images, used manually audit meter’s accuracy. Although inexpensive, they limited their ability be sustainable ensure 100% accurate readings. this...

Forecasting of building energy consumption plays a key role in the management modern power system. However, noise and randomness electricity load data makes it difficult to forecast accurate load. In this paper, novel scheme namely Empirical Mode Decomposition based Extreme Learning Machine (EMD-ELM) is proposed building. Randomness electric removed using EMD, whereas, ELM used day, week month ahead To illustrate usefulness EMD-ELM, performance compared with renowned neural networks...

Abstract-Lives of Holy Messengers Almighty Allah had been and still are the perfect code conduct for their followers. The information about lives exist in Corpus (Holy bible, Quran Hadith) ranging from Adam (A.S.) to last Prophet disintegrated f orm, revealed upon messengers according need situation. Such divine quizzical order narration description is only discernable by scholars. Many researchers concentrated on tracing logical connection among apparently diagonal scattered details...

The prediction of consumers’ electricity consumption is an important demand‐side energy management technique for adaptable dynamic tariff pricing. In this regard, historical patterns play role in accurately predicting the future consumption. paper, we propose a novel system based on machine learning (ML) algorithms to predict not only data and various environmental factors but also energy‐saving recommendations consumers. proposed evaluated real‐world data, results show that random forest...

Methane Hydrates is the future of natural gas to meet its growing needs. For decades, hydrates have been discussed as a potential resource, particularly for countries with limited access conventional hydrocarbons. But now it prime importance know value Ice that burns and follow Japan Oil, Gas, Metals National Corporation techniques produce methane hydrates. are energy resource: A frequently quoted estimate global hydrate resource 20,000 trillion cubic meters, or about 700,000 Tcf. However,...

Suicide is an important issue to address, especially in rural areas. Rural areas are facing unique challenges such as poor health care facilities, lack of awareness, financial constraints and many more for matters. Aims: To find the social, educational medical attributes which may lead a person deliberate self harm. Study Design: Retrospective study. Methodology: Total 100 cases suicidal attempts taken from DHQ teaching hospital Sargodha (June December) 2019. We considered all harm admitted...