Deep learning in controlled environment agriculture: A review of recent advancements, challenges and prospects

MO Ojo, A Zahid - Sensors, 2022 - mdpi.com
Controlled environment agriculture (CEA) is an unconventional production system that is
resource efficient, uses less space, and produces higher yields. Deep learning (DL) has …

Exploiting pre-trained convolutional neural networks for the detection of nutrient deficiencies in hydroponic basil

Z Gul, S Bora - Sensors, 2023 - mdpi.com
Due to the integration of artificial intelligence with sensors and devices utilized by Internet of
Things technology, the interest in automation systems has increased. One of the common …

[PDF][PDF] Computer Vision Based Machine Learning and Deep Learning Approaches for Identification of Nutrient Deficiency in Crops: A Survey.

M Sudhakar, RM Priya - Nature Environment & Pollution …, 2023 - neptjournal.com
Agriculture is a significant industry that plays a major role in a country's sustainable
environment and economic development. The global population demands increased food …

Analysing the Performance and Interpretability of CNN-Based Architectures for Plant Nutrient Deficiency Identification

J Mkhatshwa, T Kavu, O Daramola - Computation, 2024 - mdpi.com
Early detection of plant nutrient deficiency is crucial for agricultural productivity. This study
investigated the performance and interpretability of Convolutional Neural Networks (CNNs) …

IncepV3Dense: Deep Ensemble based Average Learning Strategy for identification of Micro-nutrient deficiency in banana crop

M Sudhakar, RMS Priya - IEEE Access, 2024 - ieeexplore.ieee.org
The Nutrition of a crop is very essential for the health conditions during its growth stages and
yield. A plant development is dependent on various nutrients absorbed from the natural …

On-demand Healthy and Chlorotic Lactuca sativa Leaf Classification Using Support Vector Machine in a Rotating Hydroponic System

H Aquino, E Sybingco, CH Mendigoria… - 2022 IEEE 14th …, 2022 - ieeexplore.ieee.org
Chlorosis is a manifestation of discoloration on leaves of plants that indicates an unideal
cultivation environment. It can appear as yellowish, yellow-white, or white pigment on the …

Soil Nutrient Prediction and Crop Recommendation System

R Madhumathi, A Kumar, A Dhyanesh… - … on Circuit Power …, 2023 - ieeexplore.ieee.org
Food is the necessity of humans which is in great demand. Agriculture is the major domain
and primary source of food. Soil is the main resource for agriculture where the essential …

A Comparison of Deep Learning Models for Predicting Calcium Deficiency Stage in Tomato Fruits

TT Tran, MT Tran, VD Tran, THP Thi - The International Conference on …, 2023 - Springer
Identifying and predicting nutritional deficiencies during the growing process of the tomato
plant (Solanum Lycopersicum L.) is crucial since mineral nutrients are essential to plant …

Augmenting Training Data and Validating Discriminators with Generative Adversarial Networks for Plant Disease Detection

S Purohit, P Jha, M Dhawle, A Gaisamudre… - … Conference on Data …, 2023 - Springer
Identification of plant diseases is essential in the agricultural industry because they impair
plant robustness and health, both of which are important in efficient and profitable …

Nail Disease Detection Using AI-Based Algorithm

S Bang, A Magarde, D Chandak, K Agrawal… - … Conference on Data …, 2023 - Springer
In this paper, we have proposed an idea to predict nail disease using AI-based algorithm. In
this proposed system, the Inception V3 model is used since it is a well-known model for …