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12 results for “Crop Intelligence”
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Research ArticleOpen accessIn the keywordsMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients ManagementVivek Raj, Gregory Allen, Ananth Prabhu G., Melwin DsouzaAgriculture is changing with the aid of new technologies, particularly in several Asian countries. This research applies Artificial Intelligence (AI) and the Internet of Things (IoT) to traditional farming, particularly focusing on saffron cultivation using hydroponics. Hydroponics is especially useful as a city grows, because it not only saves space but also nourishes the plants directly through the roots - … …Journal of Computer Science, Vol. 22, Issue 7 · 28 Jul 2026 · 852 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomating Paddy Crop Disease Classification With Deep Learning ModelsShiva Shankar J, S. Palanivel, S. China VenkateswarluRice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring an adequate supply of rice for a rapidly rising worldwide population. Agriculture and modern farming is one of the fields where IoT and automation can have a … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainability Through Connectivity: IoT Influence on AgricultureManmohan Singh, Shaheen Ayyub, Dharmendra Sharma et al.Today’s smart farming has ushered in a new era of agriculture, one where information and communication technologies seamlessly integrate with the latest equipment in machinery and sensors based in high-tech farming systems. This transformative shift is driven by the latest technologies notably the IoT and cloud computing which are poised to revolutionize farming practices by introducing robots using artificial intelligence … …Journal of Computer Science, Vol. 21, Issue 1 · 10 Dec 2024 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications of Artificial Intelligence Based Technologies in Weed and Pest DetectionNidhi Gupta, Bharat Gupta et al.Unprecedented population growth and climate change has burdened food security and scarcity worldwide, where the agriculture sector can significantly contribute to accomplishing the demands and contribute to the economic growth of a country. Artificial Intelligence (AI) has revolutionized the agricultural domain. Pest and weed detection is significant to yielding good quality crops. The AI-based tools and technologies such as drones … …Journal of Computer Science, Vol. 18, Issue 6 · 2 Jul 2022 · 7,410 accessesView PDFCite
Review ArticleOpen accessIn the abstractSmart Agriculture: The Future of Agriculture using AI and IoTSapna Katiyar, Artika FarhanaAgriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet … …Journal of Computer Science, Vol. 17, Issue 10 · 8 Nov 2021 · 10,401 accessesView PDFCite
Research ArticleOpen accessIn the abstractBionic Technology and Deep Learning in Agricultural Engineering: Current Status and Future ProspectsChunlei Tu, Jinxia Li, Xingsong Wang et al.As one of the most important production activity of mankind, agriculture plays an important role in social development. With the development of science and technology, agricultural technology has constantly been explored and researched. By learning and imitating the characteristics of creatures in nature, bionic technology has been applied to the improvement of agricultural machinery and farm implements. In recent years, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 24 May 2021 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Organizing Map and Multi-Layer Perceptron Neural Network Based Data Mining To Envisage Agriculture CultivationE. T. Venkatesh, Dr. P. ThangarajStudy on characteristics of soil, to determine the types of crops suitable for cultivation in a particular region can increase the yield to greater extent, which minimizes the expenditures involved in irrigation and application of fertilizers. With the tested techniques available for calibrating the quality of soil and the crops suitable for cultivation in it, it is possible to determine … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,785 accessesView PDFCite