Intelligent Optimization of Multicropping Strategies Across Irrigation Types Using Genetic Algorithms, Deep Learning, and Particle Swarm Optimization
Agriculture plays a central role in food security and rural livelihoods, yet traditional monocropping and intuition-based decision-making often lead to low productivity and inefficient resource use. Multicropping improves soil fertility, income…
Case Study Analysis: Integrating Particle Swarm Optimization with Deep Learning for Enhanced Agricultural Intelligence
…farmers. The hybrid model offers a promising pathway for intelligent, data-driven agriculture.
Fruit Grade Verification Using Image Processing Techniques
Rathamani, M.; Kanjana Devi, P.
Most of the Indian population depend on agriculture. GDP contribution is high by agricultural sector when compared to the other sectors. The agricultural products serve the purpose of economic contribution. The products that are produced by farmers are in…
Fruit Grade Classification Using Improved Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
…Automation of fruit grading and fruit detection system lays a vital role in field of agriculture and also in the consumer end too. This can be achieved by implementing the image processing techniques and data mining techniques. The image datasets are…
Employment Generation and Structural Transformation of Other States
…refers to the shift of economic activities from traditional sectors such as agriculture to more productive sectors like industry and services. This transformation plays a vital role in improving productivity, increasing income levels, and creating…
Integrated Soil Moisture and Atmospheric Monitoring System
…eliminating unnecessary irrigation, making it a scalable solution for modern smart agriculture.
Fruit Disease Identification Using Feature Extraction and Data Mining
Rathamani, M.; Kanjana Devi, P.
Agriculture is one of the fields which produce data continually ensuring each of the four characteristics with fantastic development. There are various difficulties in preparing farming records which manages assortment of organized and unstructured…
Advanced Machine Learning Approaches for Weather Forecasting and Its Applications in Business and Commerce
…models. The paper also examines important business applications in the fields of agriculture, supply chain management, energy, retail, insurance, and tourism, showing how AI-driven weather intelligence promotes resource efficiency, risk reduction, and…
A Study on Problem faced in Agricultural Credits by Farmers
…government scheme and to identify the problems faced by farmers to avail credit for agriculture. Convenience sampling method has been adopted to determine the sample size. A total of 120 farmers are taken as sample of the study. The study makes use of…
Global Trade Wars and Its Impact on Indian Economy
Prakalathan, A.; Indira Priyadharshini, B.
…It discusses the effects on India’s exports, imports, manufacturing, services, agriculture, foreign direct investment, employment, and financial markets. While trade wars create challenges in the form of reduced global demand, market volatility, and…
Identification and Classification of Maize Plant Diseases: Perspective to Bacterial Foraging Optimization
…crops after rice and wheat in all over the world. It has become a vital part in the agriculture to automatically monitor and diagnosis the plant disease in new era. In this paper, a unique maize plant disease identification system has been modelled using…
Sustainable Development and Innovation in Digitalization
…governance. Innovation in sectors like green energy, waste management, agriculture, and digital services is enabling resource efficiency, reducing carbon footprints, and improving quality of life. By integrating sustainability principles into…
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