Deep learning approach for brown spot detection and nitrogen deficiency estimation in rice crops

R Hridya Krishna, A Manoj, KP Vaishnavi… - ICT Systems and …, 2022 - Springer
More than half of the people in the world rely on rice as their primary energy source. Two
main challenges in rice cultivation are plant diseases and nutrient deficiency. Brown spots …

Sustainability-driven fertilizer recommender system for coffee crops using case-based reasoning approach

ED Leon Chilito, JF Casanova Olaya… - … in Sustainable Food …, 2025 - frontiersin.org
Introduction In recent years, the increased demand for food has prompted farmers to
increase production to support economic expansion. However, the excessive use of mineral …

Detection of Corn Leaves Nutrient Deficiency Using Support Vector Machine (SVM)

Y Sari, M Maulida, R Maulana… - … of Computer and …, 2021 - ieeexplore.ieee.org
Like other plants in general, corns are also requiring nutrients for their life. Nitrogen,
phosphorus, and potassium are at least three main nutrients that all plants always need …

Study on nitrogen demand model in pakchoi (Brassica campestris ssp. Chinensis L.) based on nitrogen contents and phenotypic characteristics

L Chang, X Xiong, MK Hameed, D Huang… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction In precision agriculture, the diagnosis of the nitrogen (N) nutrition status based
on the plant phenotype, combined effects of soil types, various agricultural practices, and …

Handling Class Imbalance in Credit Card Fraud Using Various Sampling Techniques

BR Alam, MS Khatun, M Taslim… - American Journal of …, 2022 - journals.e-palli.com
Over the last few decades, credit card fraud (CCF) has been a severe problem for both
cardholders and card providers. Credit card transactions are fast expanding as internet …

[PDF][PDF] DECISION SUPPORT SYSTEM FOR AGRICULTURE: CROP DISEASE RECOGNITION AND CLASSIFICATION THROUGH AN OPTIMIZE CONVOLUTION …

M Taslim, M Shafiuzzaman, MR Akhond… - E-PALLI …, 2023 - researchgate.net
Crop leaf diseases cause great damage to agriculture, causing significant crop losses in
Bangladesh every year. Crop economic loss can be significantly reduced by accurately …

Extreme learning machine for solving paddy nutrient deficiencies in Davangere region

M Varsha, MPP Kumar… - International Journal of …, 2023 - inderscienceonline.com
Soil nutrient is an important aspect that contributes to the soil fertility and environmental
effects. Traditional evaluation approaches of soil nutrient are quite hard to operate and they …

Machine Learning Based Intercropping Recommender

S Desai, K Wangi - 2023 IEEE North Karnataka Subsection …, 2023 - ieeexplore.ieee.org
Intercropping is the agricultural technique for growing two or more crops in the same area
simultaneously. It is a popular cropping method that tries to effectively match crop demands …

[HTML][HTML] Paddynet: an organized dataset of paddy leaves for a smart fertilizer recommendation system

MM Siddique, T Islam, YA Tusher, RR Ema, MN Adnan… - Data in Brief, 2023 - Elsevier
Abstract The dataset of Leaf Color Chart (PaddyNet) is publicly unavailable. As far as the
author's knowledge, this is the first dataset about paddy leaves based on LCC. This dataset …

[PDF][PDF] KRISHOKBOT: AN INTELLECTUAL AGENT FOR FARMERS

MA Rashid, MA Hossain, M Taslim… - E-PALLI …, 2023 - researchgate.net
Crop disease treatment is vital for improving agricultural production and crop yields. The
early prevention and treatment of the disease is very helpful to reduce crop damages …