André Torre-Neto

Brazilian Agricultural Research Corporation

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Ana Rita A. Nogueira

Brazilian Agricultural Research Corporation

Sherlan G. Lemos

Universidade Federal da Paraíba

R. Ghini

Secretaria do Meio Ambiente

J. Alonso

Universitat Autònoma de Barcelona

Fábio M. DaMatta

Universidade Federal de Viçosa

Aleix Parra

Brazilian Agricultural Research Corporation

E. A. Menezes

Universidade Federal do Ceará

Marcos Cézar Visoli

Brazilian Agricultural Research Corporation

L. M. Rabello

Brazilian Agricultural Research Corporation

J. F. W. Slaets

Universidade de São Paulo

Cooperative Institutions

Brazilian Agricultural Research Corporation

Universidade Federal de São Carlos

Universidade de São Paulo

Agricultural Research Corporation

University of Nebraska–Lincoln

University of California Division of Agriculture and Natural Resources

John Deere (Germany)

Centro Universitário de Araraquara

KU Leuven

Universitat Autònoma de Barcelona

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INSTRUMENTED CITRUS PRODUCTION

Acta Horticulturae (2009)

André Torre-Neto Carlos Manoel Pedro Vaz D. M. B. P. Milori Lúcio André de Castro Jorge L. M. Rabello

Despite the notable technological support that has made the Precision Agriculture feasible around the world, there are still opportunities for the development of instrumentation and automation in this area.These opportunities are more plentiful considering perennial crops and the traceability of agricultural products.The Precision Agriculture has been developed more intensively for grains what gives chances for the development of technological tools for site-specific management of perennial crops, like citrus.Besides, the traceability of fruits is an immediate and strategic necessity in order to face non-economical issues for exporting, like phytosanitary measures.Therefore, for developing countries like Brazil it is very important the development of technologies to identify the origin and the history of fruits, that can potentially figure among its major exporting products.For the last five years, at the Embrapa Agricultural Instrumentation Center, in Brazil, some of these opportunities have been explored, in order to start the development of an information system and associated tools to make possible the integration of traceability and the site-specific management system for perennial crops.The use of sensors, fixed and on-board instrumentation, wired and wireless network and advanced methodologies have been accomplished to implement precision agriculture and traceability for citrus.The main problems that have been faced are: phytosanitary control, spraying control, automation of fertirrigation and evaluation of product quality.

10.17660/actahortic.2009.824.11

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Water spray detection for smart irrigation systems with Mask R-CNN and UAV footage

Caio K. G. Albuquerque Sergio Polimante André Torre-Neto Ronaldo C. Prati

While the world's population rises, demand for food grows accordingly. Smart agriculture emerges as a viable solution to increase the quality and efficiency of crops. Irrigation plays an essential role in the grade and productivity of harvests, while also being a crucial factor in the cost-effectiveness of food production. Smart irrigation uses technology to improve watering, such as the Internet of Things (IoT) applications and Machine Learning algorithms. The correct functioning of irrigation nozzles is critical to ensure that the hydration plan is deployed correctly to the crop field. This paper presents a Machine Learning algorithm that can automatically recognize water from aerial footage of irrigation systems. This automatic recognition can help in the irrigation system inspection, potentially reducing time and cost in system maintenance. Initial results show that it is possible to identify water on image frames captured by an Unmanned Aerial Vehicle (UAV) using the Mask R-CNN Neural Network. The goal is to identify malfunctioning irrigation systems that can lead to under or overwatering, compromising the irrigation plan's correct implementation.

10.1109/metroagrifor50201.2020.9277542

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In Situ Soil Phosphorus Monitoring Probe Compared with Conventional Extraction Procedures

Communications in Soil Science and Plant Analysis (2009)

Sherlan G. Lemos E. A. Menezes F. S. Chaves Ana Rita A. Nogueira André Torre-Neto

In this work, selective chemical sensors of phosphorus (PO4 3−) installed in PVC probes and their associated instrumentation were evaluated in soil solution phosphorous monitoring. The evaluation was carried out with the addition of a 0.1 mol L−1 P‐PO4 3− solution in the soil, followed by data acquisition supplied by the probes; by collecting soil samples in the region where the probes were installed; and by phosphorus determination through conventional laboratory techniques. The phosphorus amounts were determined by spectrophotometry after the following extraction methodologies: Mehlich 1, Mehlich 3, and ionic exchange resin. The results, compared with the potentials registered by the probes, express the best correlation with the results obtained with the resin method. The results indicate good response of the sensors and the potential applicability of these probes to assist in the monitoring of soil nutrients, helping to establish rational processes in the use of fertilizers in crops.

Soil test

Instrumentation

10.1080/00103620902761155

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Enhancing Soil Measurements with a Multi-Depth Sensor for IoT-based Smart Irrigation

André Torre-Neto Jeferson Rodrigues Cotrim João Henrique Kleinschmidt Carlos Kamienski Marcos Cézar Visoli

Smart farming is an emerging and important application of the Internet of Things (IoT) technology. This paper describes a multi-depth and multi-parameter probe for soil data collection utilized to on-farm research by the SWAMP project. The probe is based on LoRaWAN communication and has sensors for soil moisture, temperature, and electrical conductivity. The network infrastructure to deliver data to a cloud platform is also discussed. The combined solution was deployed in two pilots in Brazil to assess smart irrigation in drip and center pivot systems. The initial data collection shows the effectiveness of the solution, which is suitable to other smart farming processes.

Swamp

10.1109/metroagrifor50201.2020.9277562

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Utilização do nariz eletrônico para o monitoramento de gases emitidos por plantas de soja sob estresse hídrico

P. S. de P. Herrmann Matheus Santos Luccas Ednaldo José Ferreira André Torre-Neto

10.4322/978-65-86819-38-0.1000086

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Monitoramento de potássio in situ em solos tratados com vinhaça.

S R Bianchi Sherlan G. Lemos E. A. Menezes Ana Rita A. Nogueira Andréa Moreira

A comparacao dos potenciais dos sensores feita com os resultados obtidos pela metodologia padrao demonstra concordância com os potenciais apresentados pela sonda. Isso demonstra a possivel viabilidade das sondas no monitoramento em tempo real de K+ advindos da adicao de vinhaca ao solo.

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Soil Calcium and pH Monitoring Sensor System

Journal of Agricultural and Food Chemistry (2007)

Sherlan G. Lemos Ana Rita A. Nogueira André Torre-Neto Aleix Parra J. Alonso

An agrarian sensorial system based on temperature, moisture, and all solid-state ion-selective potentiometric sensors was developed with the objective of monitoring the behavior of H+ and Ca2+ ions in soil and in real conditions, contributing with a new tool that tries to complement the current precision agriculture technology. The evaluation of the sensorial system to pH monitoring presented a good correlation between the results obtained by the system and the standard methodology, allowing us to notice the soil buffer capacity at different soil depths. With regard to calcium, the sensor system also presented an agreement between its results and those obtained by flame atomic absorption spectrometry, using a calibration model based on multiple linear regressions that allows the correct determination of Ca2+ concentrations in soil depths where the relative moisture is different. In this way, using well-known potentiometric sensors in a complex, discontinued, and heterogeneous matrix, such as soil, the sensorial system proved to be a useful task for agrochemical field applications. Keywords: pH; calcium; in situ soil analysis; potentiometric sensor; precision agriculture

Potentiometric sensor

Matrix (chemical analysis)

10.1021/jf063746a

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Citations (42)

Wireless Sensor Network for implementation of FACE experiment to study the impacts of Climate Changes in Agriculture

André Torre-Neto V. Bertucci Neto Luiz Francisco de Matteo Ferraz Danilo Mendes Rodrigo Ivata

Climate change is considered one of humankind's greatest challenges in the near future. The climate change is expected to interfere in the scenario of worldwide agriculture. Its economic, social and environmental impacts can be positive, negative or neutral, since these changes can decrease, increase or have no impact on plant diseases, pests or weeds depending on each region or period of time considered. A type of experiment called FACE, Free Air Carbon-dioxide Enrichment, has been conducted in the USA, UK, Germany, Japan, Australia, Italy, Denmark, among other countries to study particularly the impacts of the CO2 concentration increasing on crops. In Brazil, the first FACE experiment in South America is being installed by a group of scientists of Embrapa (Brazilian Agricultural Research Corporation). Compared to the existing FACE projects, the Brazilian implementation innovates with a wireless sensor network approach. In this article it is described the details for that implementation and presented the preliminary results.

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Sustained enhancement of photosynthesis in coffee trees grown under free-air CO₂enrichment conditions: disentangling the contributions of stomatal, mesophyll, and biochemical limitations

Journal of Experimental Botany (2015)

Fábio M. DaMatta Alice Gontijo de Godoy Paulo Eduardo Menezes‐Silva Samuel C. V. Martins Lilian Vincis Pereira Sanglard

Coffee (Coffea spp.), a globally traded commodity, is a slow-growing tropical tree species that displays an improved photosynthetic performance when grown under elevated atmospheric CO2 concentrations ([CO2]). To investigate the mechanisms underlying this response, two commercial coffee cultivars (Catuaí and Obatã) were grown using the first free-air CO2 enrichment (FACE) facility in Latin America. Measurements were conducted in two contrasting growth seasons, which were characterized by the high (February) and low (August) sink demand. Elevated [CO2] led to increases in net photosynthetic rates (A) in parallel with decreased photorespiration rates, with no photochemical limitations to A. The stimulation of A by elevated CO2 supply was more prominent in August (56% on average) than in February (40% on average). Overall, the stomatal and mesophyll conductances, as well as the leaf nitrogen and phosphorus concentrations, were unresponsive to the treatments. Photosynthesis was strongly limited by diffusional constraints, particularly at the stomata level, and this pattern was little, if at all, affected by elevated [CO2]. Relative to February, starch pools (but not soluble sugars) increased remarkably (>500%) in August, with no detectable alteration in the maximum carboxylation capacity estimated on a chloroplast [CO2] basis. Upregulation of A by elevated [CO2] took place with no signs of photosynthetic downregulation, even during the period of low sink demand, when acclimation would be expected to be greatest.

Photorespiration

Sink (geography)

Coffea

Photosynthetic efficiency

10.1093/jxb/erv463

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Citations (89)

Development of a screen-printed thick-film nitrate sensor based on a graphite-epoxy composite for agricultural applications

Sensors and Actuators B Chemical (2003)

José María Gatell Artigas Cecilia Jiménez‐Jorquera Sherlan G. Lemos Ana Rita A. Nogueira André Torre-Neto

Instrumentation

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