[PDF][PDF] Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture

MA Tawfeek, N Yanes, L Jamel… - CMC-COMPUTERS …, 2023 - cdn.techscience.cn
The trend towards smart greenhouses stems from various factors, including a lack of
agricultural land area owing to population concentration and housing construction on …

Automation in Agriculture and Smart Farming Techniques using Deep Learning

N Panuganti, P Ranjan, KS Batra… - 2022 IEEE Conference …, 2022 - ieeexplore.ieee.org
Agriculture is considered to be a field of great importance and with a serious economic
impact in all successful countries. Due to the substantial increase in world population, it has …

Automated greenhouse system for tomato crop using deep learning

NV Dharwadkar, VR Harale - International Journal of …, 2019 - inderscienceonline.com
In India, many farmers are facing the major problem of crop diseases. These diseases are
affecting growth and the quality of the crop. The crop diseases will occur due to change in …

Multi-layered CNN Architecture for Assistance in Smart Farming

GLN Murthy, BB Shaik, CU Reddy… - 2023 International …, 2023 - ieeexplore.ieee.org
Extensive use of herbicides for weed management poses a major threat to the environment
and food supply chain. The extent weeds take away the resources of the crop desired …

Enhancing efficiency in agriculture: densely connected convolutional neural network for smart farming

A Sivaraj, P Valarmathie, K Dinakaran… - Signal, Image and Video …, 2024 - Springer
Smart farming plays a revolutionary paradigm shift in the realm of agriculture to enhance
farming practices across the globe. Traditional smart farming methods face various …

Smart Crop Cultivation: Harnessing Machine and Deep Learning for Informed Agricultural Practices

S Meghani, J Vele, K Madrecha… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Amongst various occupations in India, farming is the most common. It boosts the Indian
economy significantly and provides Indians with a wide range of job opportunities. The ideal …

An innovative smart agriculture system utilizing a deep neural network and embedded system to enhance crop yield

AG Chandar, K Sivasankari, SL Lakshmi… - Multidisciplinary …, 2024 - malquepub.com
Wheat crop classification and prediction are important tasks for the optimization of crop yield
and resource utilization. In this study, we propose an Artificial Neural Network (ANN) model …

Smart Farming-A Flexible Approach to Improve Crop Yield and Profit using Machine Learning Techniques

GS Kumar, S Venkatramaphanikumar… - 2021 2nd …, 2021 - ieeexplore.ieee.org
A smart farming system is a farm managing mechanism, which significantly increases the
yield of crops by incorporating new technologies in the field of agriculture. Here we present …

IoT-driven artificial intelligence technique for fertilizer recommendation model

B Swaminathan, S Palani… - IEEE Consumer …, 2022 - ieeexplore.ieee.org
Smart farming systems emphasize the need for modern technologies like the Internet of
Things, Cloud, and Artificial Intelligence (AI) in the agricultural process. The digital …

Smart agriculture applications using deep learning technologies: A survey

M Altalak, M Ammad uddin, A Alajmi, A Rizg - Applied Sciences, 2022 - mdpi.com
Agriculture is considered an important field with a significant economic impact in several
countries. Due to the substantial population growth, meeting people's dietary needs has …