Exploring smart harvesting, sowing sustainability!


2024

Automated Windrow Profiling System in Mechanized Peanut Harvesting

A systematic and meta-analytical review of soybean mechanized harvesting in South America

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

Machine learning models for classifying coffee fruits detachment force

  • Agronomy Journal (2024)
  • DOI: https://doi.org/10.1002/agj2.21633
  • Shareable link

Advancements in peanut mechanization: Implications for sustainable agriculture

  • Agricultural Systems (2024)
  • DOI: https://doi.org/10.1016/j.agsy.2024.103868

Monitoring coffee fruit maturity using an enhanced convolutional neural network under different image acquisition settings

  • Scientia Horticulturae (2024)
  • DOI: https://doi.org/10.1016/j.scienta.2024.112957

Fuel-flexible biomass off-gassing: The impact of antioxidant spent coffee grains on emissions of CO2, CO, CH4, and VOCs, physical deposits, and combustion in wood pellets

  • Industrial Crops and Products (2024)
  • DOI: doi.org/10.1007/s13399-023-04365-9

AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery

Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane


2023

Adsorption of tebuthiuron on hydrochar: structural, kinetic, isothermal, and mechanistic modeling, and ecotoxicological validation of remediative treatment of aqueous system

Does the Soil Tillage Affect the Quality of the Peanut Picker?

  • Agronomy (2023)
  • DOI: doi.org/10.3390/agronomy13041024

Forage Mass Estimation in Silvopastoral and Full Sun Systems: Evaluation through Proximal Remote Sensing Applied to the SAFER Model 

  • Remote Sensing (2023)
  • DOI: doi.org/10.3390/rs15030815

High-Throughput Carbon-Capturing Frameworks by Pelleting Hydrochar of Food Waste and its Residual Ash as a Dopant

Mapping Gaps in Sugarcane Fields Using UAV-RTK Platform

Performance of the SAFER model in estimating peanut maturation

Quantification and Evaluation of Water Requirements of Oil Palm Cultivation for Different Climate Change Scenarios in the Central Pacific of Costa Rica Using APSIM

Selection of a Navigation Strategy According to Agricultural Scenarios and Sensor Data Integrity

  • Agronomy (2023)
  • DOI:
  • doi.org/10.3390/agronomy13030925

Smartphone image-based framework for quick, non-invasive measurement of spray characteristics

Soil and satellite remote sensing variables importance using machine learning to predict cotton yield

Sustainable management of sweet potatoes: A review on practices, strategies, and opportunities in nutrition-sensitive agriculture, energy security, and quality of life

UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane

  • Frontiers in Plant Science (2023)
  • DOI: doi.org/10.3389/fpls.2023.1114852

Unmanned aerial system and satellite: Which one is a better platform for monitoring of the peanut crops?


2022

Agro-residual biomass and disposable protective face mask: a merger for converting waste to plastic-fiber fuel via an integrative carbonization-pelletization framework

A High-Throughput Imagery Protocol to Predict Functionality upon Fractality of Carbon-Capturing Biointerfaces

Assessing Intra-Row Spacing Using Image Processing: A Promising Digital Tool for Smallholder Farmers

  • Agronomy (2022)
  • DOI: https://doi.org/10.3390/agronomy12020301

Biophysical characteristics of soybean estimated by remote sensing associated with artificial intelligence

  • Bioscience Journal (2022)
  • DOI: doi.org/10.14393/BJ-v38n0a2022-55925

High-Throughput Carbon-Capturing Frameworks by Pelleting Hydrochar of Food Waste and its Residual Ash as a Dopant

  • BioEnergy Research (2022)
  • DOI: https://doi.org/10.1007/s12155-022-10420-6

Identifying Nematode Damage on Soybean through Remote Sensing and Machine Learning Techniques

Loss sampling methods for soybean mechanical harvest

  • Bioscience Journal (2022)
  • DOI: https://doi.org/10.14393/BJ-v38n0a2022-56409

Oil palm yield estimation based on vegetation and humidity indices generated from satellite images and machine learning techniques

Peanut harvest quality: Relationship between soil tillage management and threshing systems

Production of high-quality biogenic fuels by co-pelletization of sugarcane bagasse with pinewood sawdust and peanut shell 

  • Biomass Conv. Bioref. (2022). 
  • DOI: https://doi.org/10.1007/s13399-022-02818-1

Quality in the mechanized harvesting corn sown at different speeds 

Rate errors in sprayer turning and circular movements: PWM valve as compensation system and why spray boom size matters

The best moment to carry out the selective harvest of coffee fruits

The Time of Day Is Key to Discriminate Cultivars of Sugarcane upon Imagery Data from Unmanned Aerial Vehicle

UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean

UAVs to Monitor and Manage Sugarcane: Integrative Review

Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks 


2021

Determination of application volume for coffee plantations using artificial neural networks and remote sensing

Does moisture in pods interfere with mechanized harvesting of peanuts? 

Estimated losses in soybean (Glycine max (L.) Merril) harvest according to the speed and rotation of the trail system

High-resolution satellite image to predict peanut maturity variability in commercial fields

  • Precision Agriculture (2021)
  • DOI: https://doi.org/10.1007/s11119-021-09791-1

Mapping Gaps in Sugarcane by UAV RGB Imagery: The Lower and Earlier the Flight, the More Accurate

Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices

Use of remote sensing to characterize the phenological development and to predict sweet potato yield in two growing seasons

  • European Journal of Agronomy (2021)
  • DOI: https://doi.org/10.1016/j.eja.2021.126337

Sugarcane base cutting quality using rectangular and circular blades 

  • Engenharia Agrícola (2021)
  • DOI: doi.org/10.1590/1809-4430-Eng.Agric.v41n1p56-61/2021

Monitoring tractor performance using shewhart and exponentially weighted moving average charts 

  • Engenharia Agrícola (2021)
  • DOI: doi.org/10.1590/1809-4430-Eng.Agric.v41n1p62-69/2021

2020

Potential of using statistical quality control in agriculture 4.0

  • Revista Ciencia Agronomica (2020)

Methodology for selective cofee harvesting in management zones of yield and maturation 

Software Optimisation for Mechanised Sugarcane Planting Scenarios to Aid in Decision-Making  

Economic viability of a monitoring system in mechanized citrus production 

Variability of harvest loss in relation to physiological characteristics of cotton

Convolutional neural networks in predicting cotton yield from images of commercial fields 

  • Computers and Electronics in Agriculture (2020)

Technical-economic viability of mechanized picking coffee (Coffea arabica L.) in up to three annual operations

Can basal cutting blade wear affect sugarcane regrowth? 

  • Computers and Electronics in Agriculture (2020)

2019

Quality of multi-row harvesting in sugarcane plantations established from pre-sprouted seedlings and billets

  • Industrial Crops and Products (2019)

The times, movements and operational efficiency of mechanized coffee harvesting in sloped areas 

  • Plos One (2019)

Operational cost of mechanized harvesting of first-crop coffee

  • Australian Journal of Crop Science (2019)

Management systems: soil cover and compaction, longitudinal distribution, and yield of soybean crop

  • Engenharia Agrícola (2019)

Wear quantification of basal cutting knives in sugarcane harvesting

  • Engenharia Agrícola (2019)

Soil attributes and initial corn development as a function of fertilization and intercropping systems 

  • Engenharia Agrícola (2019)

Environmental variables and quality tools applied to the operator of an agricultural microtractor 

  • Engenharia Agrícola (2019)

Development and technical validation of spray kit for coffee harvester 

  • African journal of agricultural research (2019)

Morphological and productive influence of harvest on coffee plants 

  • Australian Journal of Crop Science (2019)

Operational performance and losses in mechanized soybean harvesting as a function of field shape

  • Comunicata Scientiae (2019)
  • DOI: 10.14295/CS.v10i2.2718

Adjustments for axial and sieves systems of coffee harvesters 

Comparative performance of commonly used portable coffee harvesters 

  • African journal of agricultural research 14(3):168-172

Straw management and fertilization in soybean production and soil cover 

  • Nativa (2019)

Development of maize seedlings according to the treatment and seed sowing depth


2018


2017