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An improved agro deep learning model for detection of Panama wilts disease in banana leaves
Recently, Panama wilt disease that attacks banana leaves has caused enormous economic
losses to farmers. Early detection of this disease and necessary preventive measures can …
losses to farmers. Early detection of this disease and necessary preventive measures can …
Early detection of wilt in Cajanus cajan using satellite hyperspectral images: Development and validation of disease-specific spectral index with integrated …
Pigeonpea (Cajanus cajan), a legume of nutritional significance, is highly prone to wilt
disease caused by fungal pathogen, Fusarium udum, that leads to 15–30% of crop mortality …
disease caused by fungal pathogen, Fusarium udum, that leads to 15–30% of crop mortality …
Improving prediction of chickpea wilt severity using machine learning coupled with model combination techniques under field conditions
Accurate estimation of disease severity in the field is a key to minimize the yield losses in
agriculture. Existing disease severity assessment methods have poor accuracy under field …
agriculture. Existing disease severity assessment methods have poor accuracy under field …
A systematic review of the literature on machine learning methods applied to high throughput phenoty** in agricultural production
The amount of images that can be extracted from crops such as soybean, corn, sorghum,
etc., has increased exponentially due to the proliferation of remote sensing technologies …
etc., has increased exponentially due to the proliferation of remote sensing technologies …
Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenoty** and AI in Controlled Environments
C Kaya - Food and Energy Security, 2025 - Wiley Online Library
Plant phenomics deals with the measurement of plant phenotypes associated with genetic
and environmental variation in controlled environment agriculture (CEA). Encompassing a …
and environmental variation in controlled environment agriculture (CEA). Encompassing a …
[HTML][HTML] High-throughput phenoty** for terminal drought stress in chickpea (Cicer arietinum L.)
Most chickpea cultivation occurs in rainfed environments, where unpredictable rainfall leads
to drought stress, consequently reducing growth and productivity. Fast and robust image …
to drought stress, consequently reducing growth and productivity. Fast and robust image …
A standard area diagram for Fusarium yellows rating in sugar beet (Beta vulgaris)
Members of the Fusarium oxysporum species complex are pathogens of sugar beet causing
Fusarium yellows. Fusarium yellows can reduce plant stand, yield and extractable sugar …
Fusarium yellows. Fusarium yellows can reduce plant stand, yield and extractable sugar …
Genetic diversity and population structure of Fusarium udum in India and its correlation with pigeonpea wilt incidence
In a study conducted in India, 50 Fusarium isolates were collected from pigeonpea growing
regions and extensively examined for their cultural and morphological characteristics. These …
regions and extensively examined for their cultural and morphological characteristics. These …
[HTML][HTML] Algorithms for Plant Monitoring Applications: A Comprehensive Review
Many sciences exploit algorithms in a large variety of applications. In agronomy, large
amounts of agricultural data are handled by adopting procedures for optimization, clustering …
amounts of agricultural data are handled by adopting procedures for optimization, clustering …
[HTML][HTML] Impact of web blight on photosynthetic performance of an elite common bean line in the Western Amazon region of Colombia
Disease stress caused by plant pathogens impacts the functioning of the photosynthetic
apparatus, and the symptoms caused by the degree of severity of the disease can generally …
apparatus, and the symptoms caused by the degree of severity of the disease can generally …