Results 1 to 10 of about 408,742 (299)

Developing Machine Vision in Tree-Fruit Applications—Fruit Count, Fruit Size and Branch Avoidance in Automated Harvesting [PDF]

open access: yesSensors
Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Networks (CNN) in object detection and segmentation have accelerated the adoption of machine vision in a range of applications, with mainstream models often ...
Chiranjivi Neupane   +3 more
doaj   +4 more sources

Honey bee hives decrease wild bee abundance, species richness, and fruit count on farms regardless of wildflower strips [PDF]

open access: yesScientific Reports, 2021
Pollinator refuges such as wildflower strips are planted on farms with the goals of mitigating wild pollinator declines and promoting crop pollination services.
G. M. Angelella   +2 more
doaj   +2 more sources

Short Notes: Application of Vesicular Arbuscular Mycorrhiza: Increasing the Yield of Okra

open access: yesMaǧallaẗ al-baṣraẗ al-ʻulūm al-zirāʻiyyaẗ, 2023
A commercially available arbuscular mycorrhizal fungi was applied to investigate the response of okra plants, particularly the yield components. Okra plants were separately treated with inorganic fertilizer, organic fertilizer, and mycorrhiza.
Maricar O. Dahilig   +1 more
doaj   +5 more sources

Attempting to Estimate the Unseen—Correction for Occluded Fruit in Tree Fruit Load Estimation by Machine Vision with Deep Learning

open access: yesAgronomy, 2021
Machine vision from ground vehicles is being used for estimation of fruit load on trees, but a correction is required for occlusion by foliage or other fruits. This requires a manually estimated factor (the reference method).
Anand Koirala   +2 more
doaj   +1 more source

Deep Count: Fruit Counting Based on Deep Simulated Learning [PDF]

open access: yesSensors, 2017
Recent years have witnessed significant advancement in computer vision research based on deep learning. Success of these tasks largely depends on the availability of a large amount of training samples. Labeling the training samples is an expensive process.
Rahnemoonfar, Maryam, Sheppard, Clay
openaire   +3 more sources

Evaluation of methods to estimate understory fruit biomass. [PDF]

open access: yesPLoS ONE, 2014
Fleshy fruit is consumed by many wildlife species and is a critical component of forest ecosystems. Because fruit production may change quickly during forest succession, frequent monitoring of fruit biomass may be needed to better understand shifts in ...
Marcus A Lashley   +4 more
doaj   +1 more source

Efficacy of different organic and inorganic nutrient sources on the growth and yield of bitter gourd (Momordica charantia L.)

open access: yesHeliyon, 2023
The cultivation of bitter gourd (Momordica charantia L.) in Nepal faces significant challenges, resulting in diminished yields compared with other regions. The pivotal issue is optimizing fertilizer management practices to enhance bitter gourd growth and
Sudip Ghimire   +2 more
doaj   +1 more source

Effect of Carica papaya Linn. Unripe and Ripe Fruit Pulp Juice in Augmenting Platelet Count in Rats: An Experimental Study [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2018
Introduction: Thrombocytopenia is often associated with diseases like dengue, Idiopathic Thrombocytopenic Purpura (ITP), malignancy, aplastic anaemia, drug induced thrombocytopenic purpura and haemolytic uremic syndrome. There are no effective methods to
Maria Jose, Sasmi MB, Elsy MI
doaj   +1 more source

Genetic control of flowering time and fruit yield in citron watermelon

open access: yesFrontiers in Plant Science, 2023
Flowering time and fruit yield are important traits in watermelon crop improvement. There is limited information on the inheritance and genomic loci underlying flowering time and yield performance, especially in citron watermelon.
Dennis N. Katuuramu   +2 more
doaj   +1 more source

Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning [PDF]

open access: yesFrontiers in Plant Science, 2020
Accurately detecting and counting fruits during plant growth using imaging and computer vision is of importance not only from the point of view of reducing labor intensive manual measurements of phenotypic information, but also because it is a critical step toward automating processes such as harvesting.
Afonso, Manya   +7 more
openaire   +4 more sources

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