All of the articles in this proceedings volume have been presented at the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026) on 2 July 2026 at Vishwakarma University, Pune, Maharashtra, India. These articles have been peer reviewed by the members...

The paper proposes a combined model to identify and prevent HTTP Flood Distributed Denial-of-Service (DDoS) attacks in smart agriculture systems with an Nginx-based filtering layer over a Flask-based monitoring system. The proposed system, in contrast to the traditional rule-based methods, presents a...

Vision-Language-Action (VLA) models allow robots to understand scenes alongside linguistic instructions. These models have computational requirements that are too demanding to implement on edge hardware like a Raspberry Pi and result in an unacceptable latency gap between the interpretation and decision-making...

The concern of Cybersecurity has increased due to drastic growth of internet technologies and digital services. In the earlier times the security systems were not that effective as they worked upon predefined rules and the attacks they knew. Those systems do not stand strong against the evolving threats...

Solar radiation prediction is one of the important factors to be considered for the efficient usage of solar energy. Solar radiation is highly unpredictable because of the complex weather conditions and it is also highly variable. Therefore, the prediction of solar radiation is considered to be a challenging...

The present study is a bibliometric evaluation and an extensive analysis of the literature that has emerged concerning retrieval augmented generation as an educational tool in AI as published in Scopus from 2021 to 2025. The purpose of the analysis is to assess the researchers’ potential in determining...

Coronary artery disease (CAD) remains one of the top mortality causes around the world. Coronary CT angiography (CCTA) is an efficient non-invasive technique used for evaluation of coronary artery stenosis. It is nowadays used in various clinical applications, including screening and preprocedural assessment....

Deepfake technology has advanced rapidly, threatening information integrity across diverse demographics. This paper proposes IndianDeepGuard, a novel multi-modal framework designed to address generalization gaps when Western-based deepfake detectors are applied in the Indian context. The framework compares...

Classification of brain tumor from MRI is among the foremost important processes within the healthcare industry because it facilitates early diagnosis of the patients, which further improves their quality of life. The objective is to investigate the application of deep learning methods using the CNN...

Social media has become an important part of how people communicate and share information. However, the increasing use of it has led to rise in fake and automated bot accounts. These accounts create miscommunication and often spread fake news, spam, misleading information. Since bots are becoming difficult...

Climate change, declining resources, population growth and increased food demand are increasingly threatening the profitability of farming and demand greater efficiency and sustainability in production systems. Artificial Intelligence, or AI, is a technology that can affect how decisions are made, how...

Psoriasis is an inflammatory skin disease which considerably impacts the quality of life, and thus the necessity to involve clinical experts for its correct diagnosis. Due to the resemblance of psoriasis with other similar dermatologic diseases and the unavailability of dermatologists in various geographical...

Past several decades millions of people are suffering from various neurological disorders and migraine is one of the severe condition affecting overall population. Normally the medication includes allopathic drugs which provide temporary relief but unable to handle root cause and use of such drugs for...

Plant diseases and pest infestations have a measurable impact on agricultural productivity, which results in substantial economic losses and decreased food quality across the world. To prevent these losses and to get the most out of the produce, early detection of such pests is essential. Mango, being...

The modern dairy farming is shifting more towards intelligent and data-driven systems to improve productivity, animal welfare, and milk quality measurement. Nevertheless, conventional methods of monitoring are also based on manual observation leading to the late diagnosis of the disease and the lack...

Early and accurate crop disease identification and categorization are crucial problems for increasing agricultural productivity. Instead of seeking assistance with a professional diagnosis, farmers frequently just observe the plants. This article presents deep learning approaches based on convolutional...

Accurate crop yield forecasting is essential for efficient planning of agricultural resources, food security and sound policy making. The paper proposes a hybrid deep learning framework for crop yield prediction imploying one-dimensional convolutional neural network and long short-term memory network....

This study uses the Technology Acceptance Model (TAM) and Diffusion of Innovation to analyze the rapidly growing literature on precision agriculture (PA) AI applications. Data-driven agricultural decision-making using artificial intelligence is increasingly vital as agricultural systems are expected...

Crop phenology has become an important part of crop mapping, yield prediction and for better agricultural decisions for such as irrigation, fertilization and crop drought control. The satellite sensors such as sentinel-2 and landsat-8/9 can be used to obtained high resolution imagery that can be used...

Crop yield prediction contributes significantly in food security and managing agricultural resources. For larger field area it is practically impossible for field based observations for crop yield estimation. From the last few years remote sensing and geographic information system proves to be prominent...

Accurate evaluation of crop evapotranspiration (ETc) is imperative for climate-based irrigation scheduling management within semi-arid zones. Traditional methods often employ predetermined crop calendars along with general crop coefficient values, thereby not adapting themselves to climate-based variability...

Artificial intelligence is transforming modern agriculture by enabling intelligent advisory services, efficient resource utilization, and data-driven decision-making. However, many language-model-based agricultural systems rely on computationally intensive architectures that are difficult to deploy in...

Urban rivers in India are showing sign of deterioration – murky water, collapsing banks, and increasing in pollution that far exceeds natural recovery rates. Industrial waste, populated cities’ sewage, and agriculture runoffs enter rivers faster than they can recover. Field based monitoring is reliable...

Effective management of water and energy resources has become an important issue for contemporary agriculture, especially with regard to the emergence of renewable energy sources such as solar energy. Nevertheless, the intermittency of solar energy can affect the process of providing energy supply in...

Forecasting electricity load is an important issue in power system planning, stability and resources allocation in developing countries. This paper deals with multi-horizon forecasting across geographically diverse Indian grid regions by proposing an ensemble architecture, which merges long short-term...

Sustainable investment has developed as an increasingly important theme in financial markets as environmental, social, and governance (ESG) reflections gain bigger attention alongside financial returns. At the same time, advances in Artificial Intelligence (AI) are reshaping investment decision-making...

Landslides present a significant natural disaster that leads to considerable damage to physical infrastructure and human lives, especially in hilly areas. In this work, a novel landslide detection and early warning system is designed that uses the combination of U-Net satellite image segmentation and...

Climate change is a universal challenge. The escalating cases of extreme weather conditions worldwide, such as forest fires, drought, and intense rains, remind us of the increasing danger to our survival. The Conference of Parties (COP) 21 identified a maximum global warming limit of 1.5 degrees Celsius....

The intersection of Explainable Artificial Intelligence (AI) with the applicability of Environmental Social Governance (ESG) with Green Finance is the future of India’s Sustainable Future. This study analyses the necessity of involving corporate governance and Green Finance with the principle of Human...

The deployment of artificial intelligence (AI) is taking place in various arenas and climate-smart agriculture (CSA) is not an exception. AI in agriculture is used to measure precision in irrigation and monitor crops through satellite-based tools, AI-driven carbon sequestration tracking, and algorithmic...

Traditionally human authorship is recognized by national copyright legislations and international instruments like Berne Convention, TRIPS Agreement, etc. The notion is now challenged by the advent of Artificial Intelligence. Artificial Intelligence is playing a pivotal role in predicting protein structure...

Artificial intelligence is rapidly transforming agricultural sector resulting in precision farming, increased productivity through resource management. Hence, it is necessary to examine this integration from legal perspective focusing on accountability for losses caused. The literature existing till...

This paper examines the legal challenges surrounding the patentability of genetically modified (GM) seeds in India, with specific reference to the Monsanto v. Nuziveedu dispute. It analyses the ambiguity under Section 3(j) of the Patents Act, 1970, which excludes plants, seeds, and biological processes...

Agricultural technology platforms in India have now been increasingly contributing to decisions that impact the farmers of the country significantly. This includes routine recommendations on what variety should preferably be planted, the amount of pesticide dosing. It also includes parametric crop insurance...

The emerging technological intelligence (AI) is rapidly transforming agriculture. Whether it is precision farming, predictive analytics or biotechnology integration, the agricultural sector is evolving with these technologies. While being promising by enhancing agricultural productivity and sustainability,...

Outcome-Based Education (OBE) has become core standard for modern education. Higher education institutions have slowly shifted from traditional content-based learning approach to which that is concentrated on student learning experience. OBE focuses on what students are expected to show at the end of...

Digital agriculture uses AI, ML, IoT, and precision farming to revolutionize farming. These technologies help sustainable agricultural growth by improving crop monitoring, irrigation management, disease detection, yield prediction, and resource optimization. However, smart farming ecosystems’ growing...

The mobility of current wireless networks (e.g. 5G and next-gen 6G) is far more complex than ever before with the combination of ultra-dense deployments, heterogeneous radio access technologies and strict quality of service (QoS) requirements. Many machines learning (ML) methods for predicting handover...

While data movement latency is still a big problem for AI with heterogeneous systems. To overcome this, we are introducing a Multi-source AXI4-Stream interconnect with an input arbitration scheme Implement stage and asynchronous FIFO buffers for robust data flow by Between different processing elements....

Colleges and universities are known to host various academic, cultural, and technological events throughout the year. However, many organizations continue to handle their events through notice boards, social media announcements, and different web forms, which are often inefficient. This reliance typically...

Environmental sustainability is one of the main issues in today’s consumer decision making. In particular, Gen-Z consumers are paying a lot of attention to environmental issues when choosing goods and services. This paper investigates the perception of generation Z customers, their intentions to buy...