Cyber-agricultural systems for crop breeding and sustainable production

S Sarkar, B Ganapathysubramanian, A Singh… - Trends in Plant …, 2024 - cell.com
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

Machine Learning Algorithm for Soil Analysis and Classification of Micronutrients in IoT‐Enabled Automated Farms

T Blesslin Sheeba, LDV Anand… - Journal of …, 2022 - Wiley Online Library
The available nutrient status of the mulberry gardens in the districts of Tamil Nadu is
analyzed and evaluated to find the status. In this work, the soil is classified based on the test …

Perspectives on the strategic importance of digitalization for Modernizing African Agriculture

DD Uyeh, KG Gebremedhin, S Hiablie - Computers and Electronics in …, 2023 - Elsevier
Africa's agriculture has over time, improved and expanded in scale and efficiency, yet its
productivity is far from its optimum, and the majority of the continent is still food insecure. To …

Smart Farming and Precision Agriculture and Its Need in Today's World

S John, PJ Arul Leena Rose - Intelligent Robots and Drones for Precision …, 2024 - Springer
Smart farming and precision agriculture are two intertwined concepts that leverage
technology and data-driven methods to transform conventional farming practices. This …

A prediction method of seedling transplanting time with DCNN-LSTM based on the attention mechanism

H Zhu, C Liu, H Wu - Agronomy, 2022 - mdpi.com
To improve the production efficiency and reduce the labor cost of seedling operations,
cabbage was selected as the research subject, and a novel approach based on the attention …

Germinative paddy seed identification using deep convolutional neural network

MA Islam, MR Hassan, M Uddin, M Shajalal - Multimedia Tools and …, 2023 - Springer
Paddy has been the staple food of millions of people and due to its rising demand, it is
imperative to increase paddy crop yield within the limited availability of land. Paddy yield …

[PDF][PDF] Advancing agriculture with machine learning: a new frontier in weed management

M MEHDIZADEH, DKA AL-TAEY, A OMIDI, AH Yasir… - 2024 - researchgate.net
Weed management is a crucial aspect of modern agriculture as invasive plants can
negatively impact crop yields and profitability. Long-established methods of weed control …

Revolutionizing Farming: Iot-Enabled Organic Carbon Detection For Enhanced Agricultural Practices.

SJ Narayan - Journal of Advanced Zoology, 2024 - search.ebscohost.com
The integration of the Internet of Things (IoT) has brought about transformative changes
across diverse industries, and its application in agriculture, particularly in soil management …

DigiAgri− predicting crop price by machine learning

M Singh - … , Blockchain, Computing and Security Volume 2, 2024 - taylorfrancis.com
For a producer country like India, where over 33% of the population relies on food, ensuring
the sustainability of the food supply is a key issue. Estimates of seasonal crop yields are …

Survey on Soil Micro-Nutrients Analysis and Crop Recommendation System in Smart Agriculture

P Abinaya, A Faaiza, S Tharshni, G Vishali… - … Research Journal on …, 2024 - irjaeh.com
Healthy and sufficient crop and food production are very much essential for everyone as the
population is increasing globally. At present, many advancements have been made in …