[HTML][HTML] Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning

MSH Talukder, AK Sarkar - Smart Agricultural Technology, 2023 - Elsevier
Rice is one of the most extensively cultivated food crops on the planet, especially in
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …

CPD-CCNN: classification of pepper disease using a concatenation of convolutional neural network models

YA Bezabh, AO Salau, BM Abuhayi, AA Mussa… - Scientific Reports, 2023 - nature.com
Agricultural products are vital to the sustainability of the economies of developing countries.
Most developing countries' economies such as Ethiopia heavily rely on agriculture. On a …

Ensemble averaging of transfer learning models for identification of nutritional deficiency in rice plant

M Sharma, K Nath, RK Sharma, CJ Kumar… - Electronics, 2022 - mdpi.com
Computer vision-based automation has become popular in detecting and monitoring plants'
nutrient deficiencies in recent times. The predictive model developed by various researchers …

PND-Net: plant nutrition deficiency and disease classification using graph convolutional network

A Bera, D Bhattacharjee, O Krejcar - Scientific Reports, 2024 - nature.com
Crop yield production could be enhanced for agricultural growth if various plant nutrition
deficiencies, and diseases are identified and detected at early stages. Hence, continuous …

Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

L Costa, S Kunwar, Y Ampatzidis, U Albrecht - Precision agriculture, 2022 - Springer
Nutrient assessment of plants, a key aspect of agricultural crop management and varietal
development programs, traditionally is time demanding and labor-intensive. This study …

Lettuce Plant Trace-Element-Deficiency Symptom Identification via Machine Vision Methods

J Lu, K Peng, Q Wang, C Sun - Agriculture, 2023 - mdpi.com
Lettuce is one of the most widely planted leafy vegetables in plant factories. The lack of trace
elements in nutrient solutions has caused huge losses to the lettuce industry. Non-obvious …

[HTML][HTML] Nutrient Stress Symptom Detection in Cucumber Seedlings Using Segmented Regression and a Mask Region-Based Convolutional Neural Network Model

S Islam, MN Reza, S Ahmed, Samsuzzaman, KH Lee… - Agriculture, 2024 - mdpi.com
The health monitoring of vegetable and fruit plants, especially during the critical seedling
growth stage, is essential to protect them from various environmental stresses and prevent …

[HTML][HTML] Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management

B Konara, M Krishnapillai, L Galagedara - Remote Sensing, 2024 - mdpi.com
Crop nitrogen (N) management in agricultural fields is crucial in preventing various
environmental and socio-economic issues arising from excess N use. However, precise crop …

[HTML][HTML] Feature aggregation for nutrient deficiency identification in chili based on machine learning

D Rahadiyan, S Hartati, AP Nugroho - Artificial Intelligence in Agriculture, 2023 - Elsevier
Macronutrient deficiency inhibits the growth and development of chili plants. One of the non-
destructive methods that plays a role in processing plant image data based on specific …

[PDF][PDF] Design of an intelligent hydroponics system to identify macronutrient deficiencies in chili

D Rahadiyan, S Hartati, AP Nugroho - International Journal of …, 2022 - researchgate.net
Nutrient contents are important for plants. Lack of macronutrients causes plant damage.
Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for …