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Embracing smart irrigation management techniques empowers growers to irrigate with greater efficiency, thereby promoting sustainable agricultural production. In this context, growers often rely on crop evapotranspiration (ETc) as a key factor in making informed irrigation decisions, underscoring the significance of accurately determining and spatially mapping crop water status. Technological progress, exemplified by the emergence of unmanned aerial vehicles (UAVs), has brought about a revolutionary shift in agricultural monitoring. UAV platforms can capture high-resolution images with centimeter-level spatial accuracy and offer higher temporal coverage compared to satellite imagery. Considering these advancements, this study introduces a robust method for classifying water stress in cotton using a compact UAV platform and convolutional neural networks (CNN). The experiment was conducted at the USDA-ARS Cropping Systems Research Laboratory (CSRL) in Lubbock, Texas, where the cotton field was divided into 12 drip zones. The study included three replications to evaluate four irrigation treatments: “rainfed”, “full irrigation”, “percent deficit of full irrigation”, and “time delay of full irrigation”. The results demonstrated that the CNN model successfully classified the cotton water stress using the UAV-based RGB image, achieving an overall best prediction accuracy of approximately 91%. By segmenting the original cotton images into separate canopy and soil areas using morphological image processing methods, the authors also isolated and analyzed the individual contributions of these components to cotton water stress. Additionally, a random forest classifier revealed the relative importance of different image features in the classification process through feature importance analysis. These findings highlighted the state-of-the-art performance of the proposed system in cotton water stress classification and provided valuable insights into the key image features contributing to accurate classification. The authors concluded that integrating UAV-based RGB imagery and CNN models had great potential for assessing water stress in cotton.
Information on the distribution of soil properties is important to know the status of nutrients in the soils based on which fertilizer nutrients are recommended. Given the variability of nutrients in the soils, making a site-specific fertilizer recommendation seems to be a compelling work. To determine the spatial variability of soil nutrients and to make judicious and precise fertilizer recommendations, new measures are designed with this study. These measures are tested against the soil samples (n = 43) for total nitrogen (N), organic matter (OM), phosphorus (P2O5), and potassium (K2O) in the study area. The descriptive statistical analysis indicated an average of low nitrogen and organic matter, while phosphorus was found to be very high and the level of potassium was high. The spread of nutrients across the data sets, however, included low, medium, high, and very high levels of ratings. The Deviation Square Index was developed and applied for the variability measurement and found that the largest variation was with phosphorus distribution, followed by potassium, nitrogen, and organic matter. The coefficient of variation (CV%) analysis also exhibited similar trends in nutrient distributions. Nitrogen was the main determinant explaining the variations in rice yield, while phosphorus and potash were negatively related to the yield. An index of fertilizer nutrient recommendation called Test-Value Specific Dose (TVSD) was developed and used to calculate the nutrient recommendation for each sampled location. This new method gave easy and more accurate doses of fertilizer over the blanket recommendation to fit the variations across the soil samples.
Issue | Title | |
Vol 4, No 2 (2023) | Screening of Vigna subterranean L. Verdc. accessions for waterlogging stress tolerance | Abstract PDF |
Okon Godwin Okon, Augustine Effiong Archibong, Ofonime Raphael Akata, Imikan Anyieokpon Nyong, Ekomobong Etinam Akpan | ||
Vol 4, No 2 (2023) | Development and evaluation of smart irrigation system to enhance the water use efficiency | Abstract PDF |
Masoud Pourgholam-Amiji, Abdolmajid Liaghat, Farnaz Nozari | ||
Vol 4, No 2 (2023) | Exploring the antifungal potential of Allium sativum and Ocimum gratissimum against post-harvest fungal pathogens in mango fruits | Abstract PDF |
Okon Godwin Okon, Uwaidem Yakubu Ismaila, Ukponobong Efiong Antia, Muhammad Saqlain Zaheer, Hafiz Haider Ali, Abdelhak Rhouma | ||
Vol 4, No 2 (2023) | Applications of artificial intelligence in precision agriculture to ameliorate production and distribution | Abstract PDF |
Garimella Bhaskar Narasimha Rao | ||
Vol 4, No 2 (2023) | Root exudates from weedy ryegrass hybrid type and selected crop plants affect soil microbial communities in two soil types of the Western Cape, South Africa | Abstract PDF |
Michael Ignatius Ferreira, Anélia Marais, Alfred Botha, Carl Frederick Reinhardt, Marieta van der Rijst | ||
Vol 4, No 2 (2023) | Advancing sustainable agriculture with beneficial microbes: Enhancing crop growth and yield for food security and human health | Abstract PDF |
Amanullah Amanullah, Urooj Khan | ||
Vol 4, No 2 (2023) | Species dependent correlation analysis and regression models of body weight on linear body measures in indigenous sheep and goats of Zimbabwe | Abstract PDF |
Never Assan, Michael Musasira, Maphios Mpofu, Nicholas Mwareya | ||
Vol 4, No 2 (2023) | Growth of horned melon (Cucumis metuliferus) under different levels of Trichoderma-based bio-fertilizer | Abstract PDF |
Moses Mutetwa, Tuarira Mtaita, Wonder Ngezimana, Paul Chaibva | ||
Vol 4, No 2 (2023) | Towards high-yield and sustainable agriculture | Details PDF |
Gideon Oron | ||
Vol 5, No 1 (2024) | Classification of cotton water stress using convolutional neural networks and UAV-based RGB imagery | Abstract PDF |
Haoyu Niu, Juan Landivar, Nick Duffield | ||
Vol 5, No 1 (2024) | A new approach to measure spatial variability of soil parameters and field technique to test-value specific fertilizer recommendations | Abstract PDF |
Hari Dahal | ||
Vol 5, No 1 (2024) | The influence of slope exposure on the yield characteristics of winter wheat and spring barley in the Oka River basin, Russia | Abstract PDF |
P. A. Shary, L. S. Sharaya, O. V. Rukhovich | ||
Vol 5, No 1 (2024) | Climate variability and river flow changes in Wundanyi sub-catchment of Taita hills, Kenya | Abstract PDF |
Rose Adhiambo Akombo, Cush Ngonzo Luwesi, Joy Apiyo Obando | ||
Vol 5, No 1 (2024) | Weather based thumb rule models for formulating the crop insurance schemes for wheat in Punjab | Abstract PDF |
Sakshi Mahajan, Prabhjyot Kaur, S. S. Sandhu | ||
Vol 4, No 1 (2023) | Herbicides Roundup (Glyphosate) and Paraquat (Gramoxone) as chemical ripeners for sugarcane variety SP70-1143 (A case study at Debel Khozaie Agro-Industrial Co.) | Abstract PDF |
Farideh Yarahmadi, Mohammad Mehdi Motiei, Lotfollah Abdollahi, Mojtaba Abdi Karamvand | ||
Vol 4, No 1 (2023) | Editorial for Advances in Modern Agriculture (Volume 4, Issue 1) | Details PDF |
Riaz Ahmad | ||
Vol 5, No 2 (2024) | Crossbreeding and its implication for small-scale animal agriculture in Africa: Outcomes, both positive and negative, and future prospects | Abstract PDF |
Never Assan, Enock Muteyo, Edmore Masama, Takudzwa Mafigu, Tinashe Mujati | ||
Vol 5, No 2 (2024) | Climate change adaptation policies and institutional arrangement: Agriculture and fishery sector in India | Abstract PDF |
Suresh Chand Rai, Prem Sagar Chapagain, Shobha Shrestha, Linshan Liu, Basanta Paudel, Yili Zhang, Jianzhong Yan, Md. Nurul Islam | ||
Vol 3, No 2 (2022) | Agriculture, sustainable development, environment, farmer knowledge and universities | Abstract PDF |
Mirela Rizo-Mustelier, Daniel Rafael Vuelta-Lorenzo, Ana María Lorenzo-García | ||
Vol 1, No 1 (2020) | Agroecological bases for the adaptation of agriculture to climate change | Abstract PDF |
Clara Inés Nicholls, Miguel A. Altieri | ||
Vol 1, No 1 (2020) | Agroecology or modern conventional agriculture? Positions of Argentine rural extensionists | Abstract PDF |
F Landini, Maite Regina Beramendi | ||
Vol 3, No 1 (2022) | Analysis of the energy management in the company irrigation elements for agriculture | Abstract PDF |
María Rosa Perellada Gamio, Mercedes de la Caridad Albelo Martínez | ||
Vol 2, No 2 (2021) | Application of discrete element method in agricultural engineering | Abstract PDF |
Lintao Chen, Xiangwei Mou, Zhujing Peng | ||
Vol 3, No 2 (2022) | Application of plant indices (red band and near-infrared) in avocado plantations | Abstract PDF |
Anderson Mauricio Guerrón Barahona, William Fernando Viera Arroyo, Diego Fabricio Campaña Cruz, Laura Viviana Vásquez Rojas, Carlos Lenin Montufar Delgado | ||
Vol 2, No 1 (2021) | Application progress of machine vision technology in the field of modern agricultural equipment | Abstract PDF |
Hang Zhou, Zhilong Du, Zhanyuan Wu, Cheng Song, Nan Guo, Yaling Lin | ||
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Editor-in-Chief
Dr. Joan Estrany
University of the Balearic Islands Spain
News & Announcements
2023-08-22
New version of Author Guidelines are update
Please follow the journal's author guideline and the required article template to prepare your manuscript
2022-09-10
The 2022 World Food Forum will be held in Italy
The 2022 World Food Forum (WFF) flagship event will take place from 17 to 21 October at the Headquarters of the Food and Agriculture Organization of the United Nations (FAO) in Rome, Italy and virtually.
2022-06-07
Italian researchers are protesting a law that may equate “biodynamic” methods with organic agriculture
One line in the draft law concerns scientists above all. Article I states that “for the purposes of this law, the biodynamic agriculture method […], when applied in compliance with the European Union’s dispositions on organic farming, is equated with organic farming”. A few articles later, the law requires one representative of biodynamic farmers to sit in a technical committee that will oversee the application of the law, including allocations of public funds.
Section Collections
Deadline: 2024-12-31
Keywords: food science; functional foods; food ingredients; nutrient fortification; crop biomass; sustainable food; processing technologies; cross-disciplinary approach
Special Issue
Deadline: 2023-08-24
Keywords: sustainable agriculture, objectives of sustainable farming, involving devices, involving technology, pros and cons, etc.
Deadline: 2023-08-24
Keywords: the agricultural device, the technology used in farming different plants, the impact of technology on agriculture, the evolution of agricultural technology, robotic systems, etc.