Agricultural Insect Research Articles

Consequences of resistance evolution in a Cas9-based sex conversion-suppression gene drive for insect pest management

The use of a site-specific homing-based gene drive for insect pest control has long been discussed, but the easy design of such systems has become possible only with the recent establishment of CRISPR/Cas9 technology. In this respect, novel targets for insect pest management are provided by new discoveries regarding sex determination. Here, we present a model for a suppression gene drive designed to cause an all-male population collapse in an agricultural pest insect. To evaluate the molecular details of such a sex conversion-based suppression gene drive experimentally, we implemented this strategy in Drosophila melanogaster to serve as a safe model organism. We generated a Cas9-based homing gene-drive element targeting the transformer gene and showed its high efficiency for sex conversion from females to males. However, nonhomologous end joining increased the rate of mutagenesis at the target site, which resulted in the emergence of drive-resistant alleles and therefore curbed the gene drive. This confirms previous studies that simple homing CRISPR/Cas9 gene-drive designs will be ineffective. Nevertheless, by performing population dynamics simulations using the parameters we obtained in D. melanogaster and by adjusting the model for the agricultural pest Ceratitis capitata, we were able to identify adequate modifications that could be successfully applied for the management of wild Mediterranean fruit fly populations using our proposed sex conversion-based suppression gene-drive strategy.

First evidence of neonicotinoid residues in a long-distance migratory raptor, the European honey buzzard (Pernis apivorus)

The evidence of negative impacts of agricultural pesticides on non-target organisms is constantly growing. One of the most widely used group of pesticides are neonicotinoids, used in treatments of various plants, e.g. oilseed crops, corn and apples, to prevent crop damage by agricultural insect pests. Treatment effects have been found to spill over to non-target insects, such as bees, and more recently also to other animal groups, among them passerine birds. Very little is known, however, on the presence of neonicotinoids in other wild species at higher trophic levels. We present results on the presence of neonicotinoid residues in blood samples of a long-distant migratory food-specialist raptor, the European honey buzzard. Further, we investigate the spatial relationship between neonicotinoid residue prevalence in honey buzzards with that of crop fields where neonicotinoids are typically used. A majority of all blood samples contained neonicotinoids, thiacloprid accounting for most of the prevalence. While neonicotinoid residues were detected in both adults and nestlings, the methodological limit of quantification was exceeded only in nestlings. Neonicotinoids were present in all sampled nests. Neonicotinoid presence in honey buzzard nestlings' blood matched spatially with the presence of oilseed plant fields. These are the first observations of neonicotinoids in a diurnal raptor. For better understanding the potential negative sub-lethal of neonicotinoids in wild vertebrates, new (experimental) studies are needed.

Long‐term persistence of agricultural pest insects by risk‐spreading dispersal

AbstractInsects are the most diverse organisms on earth consisting of more than 900 thousand species. However, only few of them are considered agricultural pests. Life history traits such as high fecundity, fast population growth, and high dispersal ability have been used to characterize agricultural pest insects. However, many other non‐pest insects also share these traits, which indicates that there has not been a decisive condition characterizing agricultural pest insects. Agricultural habitats are risky and ephemeral to pests because of pest control and harvesting. The usual arithmetic mean fitness cannot be used to measure the persistence of these pests, because the maximal mean fitness is achieved only when they exhibit no dispersal, but that leads to immediate extinction. Using a geometric mean fitness model, we propose a quantitative measure of long‐term reproductive success for agricultural pest insects. By using this approach, we can evaluate the trade‐off between long‐distance dispersal and high reproduction correctly and estimate the condition for the long‐term persistence of pest insects in agricultural habitats. We discuss some general perspectives of pest control from the proposed characterization.

A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture.

Rapid and accurate counting and recognition of flying insects are of great importance, especially for pest control. Traditional manual identification and counting of flying insects is labor intensive and inefficient. In this study, a vision-based counting and classification system for flying insects is designed and implemented. The system is constructed as follows: firstly, a yellow sticky trap is installed in the surveillance area to trap flying insects and a camera is set up to collect real-time images. Then the detection and coarse counting method based on You Only Look Once (YOLO) object detection, the classification method and fine counting based on Support Vector Machines (SVM) using global features are designed. Finally, the insect counting and recognition system is implemented on Raspberry PI. Six species of flying insects including bee, fly, mosquito, moth, chafer and fruit fly are selected to assess the effectiveness of the system. Compared with the conventional methods, the test results show promising performance. The average counting accuracy is 92.50% and average classifying accuracy is 90.18% on Raspberry PI. The proposed system is easy-to-use and provides efficient and accurate recognition data, therefore, it can be used for intelligent agriculture applications.

Life history and habitat explain variation among insect pest populations subject to global change

AbstractPopulation dynamic responses to global change have varied widely among taxa. Most studies of population dynamics of insect pests focus on one or a few species, leaving open the question of whether changes in outbreak patterns are species‐specific or reveal predictable responses to global change, and what factors explain differences among populations. We analyzed 64 multi‐decadal time series of agricultural and forest pest insect populations in the United States. We first characterized populations according to long‐term trends, strength of population regulation, and cycle presence and length. We then asked whether these attributes could be predicted by geography, taxonomy, and life‐history traits. Roughly half of time series exhibited a long‐term trend, and agricultural pests were more likely to be declining, while forest pests were more likely to be increasing. Approximately one quarter of records exhibited periodic oscillations, and we used their statistical properties to infer whether the oscillations were environmentally forced or arose from density dependence. Insects hatching in early spring may be more strongly influenced by environmental forcing, for example, early springs or late spring frosts, than species hatching later. Our findings suggest roles of climate change, forest compositional change, and agricultural practices in driving long‐term change in pest populations.

Effects of soil acidification on the toxicity of organophosphorus pesticide on Eisenia fetida and its mechanism

Organophosphorus pesticides (OPs) have been widely used to control agricultural insects. Soil acidification is a major problem in soil of intensive agricultural systems, especially in red soil with a low pH buffer capacity. However, the effects of soil acidification on the toxicity of pesticides are still unclear. In the present study, the toxicity of three OPs on E. fetida was determined at individual (14-day lethal test) and biochemical levels (antioxidative defence enzymes) by using acidified soils (pH = 5.5, 4.3 and 3.1). The results showed that the toxicity of tested OPs was slightly increased with the decrease of soil pH. To interpret the phenomena, an optimum Quantitative Structure Activity Relationship (QSAR) model was developed based on the toxicity mechanism and the partial least squares regression (PLS) method. The model indicated bioavailability and toxicodynamics are key factors of soil acidification affecting the toxicity of the OPs. Further results revealed the bioavailability of the OPs was strongly related to their hydrolysis and biodegradation character, whereas the effects of soil acidification on toxicodynamics were mainly caused by the interaction between the acetylcholinesterase (AchE) and the OPs. Results will increase understanding of the effects of soil acidification on the toxicity of pesticides and its mechanism.

HiMAP: Robust phylogenomics from highly multiplexed amplicon sequencing.

High-throughput sequencing has fundamentally changed how molecular phylogenetic data sets are assembled, and phylogenomic data sets commonly contain 50- to 100-fold more loci than those generated using traditional Sanger sequencing-based approaches. Here, we demonstrate a new approach for building phylogenomic data sets using single-tube, highly multiplexed amplicon sequencing, which we name HiMAP (highly multiplexed amplicon-based phylogenomics) and present bioinformatic pipelines for locus selection based on genomic and transcriptomic data resources and postsequencing consensus calling and alignment. This method is inexpensive and amenable to sequencing a large number (hundreds) of taxa simultaneously and requires minimal hands-on time at the bench (<1/2day), and data analysis can be accomplished without the need for read mapping or assembly. We demonstrate this approach by sequencing 878 amplicons in single reactions for 82 species of tephritid fruit flies across seven genera (384 individuals), including some of the most economically important agricultural insect pests. The resulting filtered data set (>150,000-bp concatenated alignment, ~20% missing character sites across all individuals and amplicons) contained >40,000 phylogenetically informative characters, and although some discordance was observed between analyses, it provided unparalleled resolution of many phylogenetic relationships in this group. Most notably, we found high support for the generic status of Zeugodacus and the sister relationship between Dacus and Zeugodacus. We discuss HiMAP, with regard to its molecular and bioinformatic strengths, and the insight the resulting data set provides into relationships of this diverse insect group.

Sex- and Tissue-Specific Expression Profiles of Odorant Binding Protein and Chemosensory Protein Genes in Bradysia odoriphaga (Diptera: Sciaridae).

Bradysia odoriphaga is an agricultural pest insect affecting the production of Chinese chive and other liliaceous vegetables in China, and it is significantly attracted by sex pheromones and the volatiles derived from host plants. Despite verification of this chemosensory behavior, however, it is still unknown how B. odoriphaga recognizes these volatile compounds on the molecular level. Many of odorant binding proteins (OBPs) and chemosensory proteins (CSPs) play crucial roles in olfactory perception. Here, we identified 49 OBP and 5 CSP genes from the antennae and body transcriptomes of female and male adults of B. odoriphaga, respectively. Sequence alignment and phylogenetic analysis among Dipteran OBPs and CSPs were analyzed. The sex- and tissue-specific expression profiles of 54 putative chemosensory genes among different tissues were investigated by quantitative real-time PCR (qRT-PCR). qRT-PCR analysis results suggested that 22 OBP and 3 CSP genes were enriched in the antennae, indicating they might be essential for detection of general odorants and pheromones. Among these antennae-enriched genes, nine OBPs (BodoOBP2/4/6/8/12/13/20/28/33) were enriched in the male antennae and may play crucial roles in the detection of sex pheromones. Moreover, some OBP and CSP genes were enriched in non-antennae tissues, such as in the legs (BodoOBP3/9/19/21/34/35/38/39/45 and BodoCSP1), wings (BodoOBP17/30/32/37/44), abdomens and thoraxes (BodoOBP29/36), and heads (BodoOBP14/23/31 and BodoCSP2), suggesting that these genes might be involved in olfactory, gustatory, or other physiological processes. Our findings provide a starting point to facilitate functional research of these chemosensory genes in B. odoriphaga at the molecular level.

Two novel totiviruses in the white-backed planthopper, Sogatella furcifera.

There is little information about commensal viruses in the white-backed planthopper, Sogatella furcifera, although it is an important agricultural insect. Here, two novel double-stranded RNA viruses related to the viruses in the family Totiviridae were identified using next-generation sequencing and tentatively named Sogatella furcifera totivirus 1 and 2 (SfTV1 and SfTV2). Their complete genomes consist of 6310 and 6303 nt, respectively, showing typical genomic features with viruses in the family Totiviridae. Identity, phylogenetic and conserved sequence analyses showed that SfTV1, SfTV2 and three other insect viruses may form a proposed novel genus of the family Totiviridae. Vertical transmission of the two viruses was highly efficient, and they were detected in all insect tissues and developmental stages, with the highest titres in the adult and in the haemolymph and reproductive organs. To our knowledge, this is the first report of viruses in the family Totiviridae found in a hemipteran insect.

An Integrated Molecular Database on Indian Insects.

MOlecular Database on Indian Insects (MODII) is an online database linking several databases like Insect Pest Info, Insect Barcode Information System (IBIn), Insect Whole Genome sequence, Other Genomic Resources of National Bureau of Agricultural Insect Resources (NBAIR), Whole Genome sequencing of Honey bee viruses, Insecticide resistance gene database and Genomic tools. This database was developed with a holistic approach for collecting information about phenomic and genomic information of agriculturally important insects. This insect resource database is available online for free at http://cib.res.in.Availability:http://cib.res.in/

English

Continue climatic changes in the world enhance the emergence of invasive agricultural insect pests. Tuta absoluta is one of the most devastating tomato leafminer and it spreads extensively in almost all parts of the world. It is a serious threat for tomato production and it results in highest damage. T. absoluta has fast growth rate with developmental stages of egg, larvae, pupa, and adult and it adapts to different environmental conditions. A larva is the most destructive one that consumes preferably leaves, stems and fruits of the tomato plant by hiding within mesophyll of the plant tissues. Although different environmentally hazardous pesticides are used against T. absoluta, none of the insecticides give full control due to the resistance development. This problem calls an urgent search for eco-friendly alternatives to control this invasive insect. Recent investigations are focused on different environmental friendly approaches that inclusively termed as IPM strategies. These are cultural practices, biopesticides, and biological using parasitoids, predators, microbial cells, microbial products, RNAi, inheritance sterility development in insect and pest resistant plant cultivar production are considered as promising alternatives to control T. absoluta. Therefore, this review briefly describes the current status of these methods used to design suitable and sustainable management strategies against T. absoluta. Key words: Tomato leafminer, insecticide resistances, biopesticides, biological control.

Public attitudes toward the presence and management of bats roosting in buildings in Great Smoky Mountains National Park, Southeastern United States

In the human dimensions of wildlife management, evaluating stakeholder perceptions of target species helps inform effective conservation efforts. Stakeholder perceptions are invaluable when managing taxa like bats, which may have historically negative cultural preconceptions. However, insectivorous bats provide critical ecosystem services in North America through agricultural insect pest control, and many of these species are threatened by white-nose syndrome (WNS), a disease caused by an invasive fungal pathogen. In Great Smoky Mountains National Park (GRSM), the most visited National Park in the United States (USA), bats are regularly observed roosting in historical buildings by visitors and park employees during summer. As a result, natural and cultural resource managers seek to ensure public safety and protect historical structures while minimizing impacts on bats, especially in light of declines in bat populations as a result of WNS. However, managers lacked information on visitor perceptions of bats and support for potential management action regarding the taxon. From June to August 2016, we surveyed 420 park visitors at three sites in the Cades Cove area of GRSM on their attitudes toward bats, perception of threats to and ecosystem services provided by bats, and support for management of bats. Most respondents supported management action to protect bats in buildings in Cades Cove during summer (76%). Standardized parameter estimates from a multiple linear regression developed with survey data indicated that attitudes toward bats and perception of threats to bats had the greatest effects on support for bat management. Wildlife management and conservation agencies seeking to further cultivate support for management of bats roosting in public spaces may apply these results in the design of tailored programming and outreach materials.

New cost-effective bioconversion process of palm kernel cake into bioinsecticides based on Beauveria bassiana and Isaria javanica.

The present study aimed to add value to palm oil by-products as substrates to efficiently produce conidia of Beauveria bassiana and Isaria javanica (Hypocreales: Cordycipitaceae) for biological control of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae), through a solid-state fermentation process using palm kernel cake and palm fiber as nutrient source and solid matrix, respectively. The optimum culture conditions yielded high concentrations of viable conidia after air-drying, when the fungi were grown on palm kernel cake (B. bassiana 7.65 × 109 and I. javanica 2.91 × 109conidiag-1 dry substrate) after 6days under optimal growth conditions set to 60% substrate moisture and 32°C. Both fungal strains exhibited high efficacy against third-instar whitefly nymphs, inducing mortality up to 62.9 and 56.6% by B. bassiana and I. javanica, respectively, assessed after 9days post-application in a screenhouse. Furthermore, we noted that insect mortality was strongly correlated with high atmospheric moisture, while B. bassiana appeared to require shorter accumulative hours under high moisture to kill whitefly nymphs compared to I. javanica. Our results underpin a feasible and cost-effective mass production method for aerial conidia, using palm kernel as the main substrate in order to produce efficacious fungal bioinsecticides against an invasive whitefly species in Brazil. Finally, our fermentation process may offer a sustainable and cost-effective means to produce eco-friendly mycoinsecticides, using an abundant agro-industrial by-product from Brazil that will ultimately assist in the integrated management of agricultural insect pests.

Gene silencing in Tribolium castaneum as a tool for the targeted identification of candidate RNAi targets in crop pests

RNAi shows potential as an agricultural technology for insect control, yet, a relatively low number of robust lethal RNAi targets have been demonstrated to control insects of agricultural interest. In the current study, a selection of lethal RNAi target genes from the iBeetle (Tribolium castaneum) screen were used to demonstrate efficacy of orthologous targets in the economically important coleopteran pests Diabrotica virgifera virgifera and Meligethes aeneus. Transcript orthologs of 50 selected genes were analyzed in D. v. virgifera diet-based RNAi bioassays; 21 of these RNAi targets showed mortality and 36 showed growth inhibition. Low dose injection- and diet-based dsRNA assays in T. castaneum and D. v. virgifera, respectively, enabled the identification of the four highly potent RNAi target genes: Rop, dre4, ncm, and RpII140. Maize was genetically engineered to express dsRNA directed against these prioritized candidate target genes. T0 plants expressing Rop, dre4, or RpII140 RNA hairpins showed protection from D. v. virgifera larval feeding damage. dsRNA targeting Rop, dre4, ncm, and RpII140 in M. aeneus also caused high levels of mortality both by injection and feeding. In summary, high throughput systems for model organisms can be successfully used to identify potent RNA targets for difficult-to-work with agricultural insect pests.

Annotation of gut bacterial taxonomic and functional diversity in Spodoptera litura and Spilosoma obliqua.

The insect gut has been the house of many taxonomically and physiologically diverse groups of microbial colonizers as symbionts and commensals, which are evolving to support the physiological requirement of insects. Lepidoptera is one of the important family of class hexapoda, comprising agriculture insect pest Spodoptera litura and Spilosoma obliqua. Information on gut microbiota and their functional role in these insects was meager to elucidate the wide-ranging survivalist mechanisms. In this context, we analyzed the composition, diversity and functional role of gut bacteria in S. litura and S. obliqua collected from soybean and sunflower crops, respectively, using Next Generation Sequencing of 16S rRNA. A total of 3427 and 206 Operation Taxonomic Units (OTUs) were identified in S. litura and S. obliqua gut metagenome, respectively. Highest number of sequences were annotated to unclassified bacteria (34%), followed by Proteobacteria (27%), and Chlorobi (14%) in S. litura, while S. obliqua has significant representation of Firmicutes (48%), followed by Bacteroidetes (20%), and unclassified bacteria (11%). Functionality of both metagenomes revealed, high abundance of ammonia oxidizers (20.1 58.0%) followed by relative abundance of detoxifying processes - dehalogenation (17.4-41.2%) and aromatic hydrocarbons degradation (1.1-3.1%). This study highlights the significance of the inherent microbiome of two defoliators in shaping the metagenome for nutrition and detoxifying the chemical molecules, and opens an avenue for exploring role of insect gut bacteria in host selection, metabolic endurance of insecticides and synergistic or agonistic mechanisms inside gut of insects feeding on insect-resistant biotech crops.

Bph6 encodes an exocyst-localized protein and confers broad resistance to planthoppers in rice.

The brown planthopper (BPH) and white-backed planthopper (WBPH) are the most destructive insect pests of rice, and they pose serious threats to rice production throughout Asia. Thus, there are urgent needs to identify resistance-conferring genes and to breed planthopper-resistant rice varieties. Here we report the map-based cloning and functional analysis of Bph6, a gene that confers resistance to planthoppers in rice. Bph6 encodes a previously uncharacterized protein that localizes to exocysts and interacts with the exocyst subunitOsEXO70E1. Bph6 expression increases exocytosis and participates in cell wall maintenance and reinforcement. A coordinated cytokinin, salicylic acid and jasmonic acid signaling pathway is activated in Bph6-carrying plants, which display broad resistance to all tested BPH biotypes and to WBPH without sacrificing yield, as these plants were found to maintain a high level of performance in a field that was heavily infested with BPH. Our results suggest that a superior resistance gene that evolved long ago in a region where planthoppers are found year round could be very valuable for controlling agricultural insect pests.

Toxicity assessment of pyriproxyfen in vertebrate model zebrafish embryos (Danio rerio): A multi biomarker study

Pyriproxyfen (2-[1-methyl-2-(4-phenoxyphenoxy) ethoxy] pyridine) (PPF), a pyridine-based pesticide widely used to control agricultural insect pests and mosquitoes in drinking water sources. However, its ecotoxicological data is limited in aquatic vertebrates particularly in fish. Hence, the present study aimed to evaluate the adverse effect of PPF in zebrafish embryo development (Danio rerio). In order to investigate the impact of PPF, embryos were exposed to 0.16, 0.33 and 1.66 μg/mL (0.52, 1.04 and 5.2 μM, respectively) for 96 hpf and various biomarker indices such as developmental toxicity (edema formation, hyperemia, heart size and scoliosis), oxidative stress (reactive oxygen species (ROS), lipid peroxidation (LPO) and nitric oxide (NO)), antioxidant responses (superoxide dismutase (SOD), catalase (CAT), glutathione S-transferase (GST), glutathione peroxidase (GPx) and reduced glutathione (GSH)), biochemical (lactate dehydrogenase (LDH) and acid phosphatase (AP)), neurotoxicity (acetylcholinesterase (AChE)), genotoxicity (apoptosis and DNA damage) and histopathological changes were determined. The results showed that severe developmental deformities and changes in heart rate were observed in embryos treated with highest (1.66 μg/mL) concentration than the control (P < 0.05). Heart size measurement showed that, significant change in heart size (P < 0.01) was observed in embryos of 96 hpf only at 1.66 μg/mL PPF exposure. The oxidative stress was apparent at highest test concentration (1.66 μg/mL) as reflected by the elevated ROS, LPO and NO and changes in antioxidant enzyme activities including SOD, CAT, GST and GPx (P < 0.05). Besides, GSH level and AChE activity were significantly lowered in 1.66 μg/mL PPF exposed group than the control. After 96 hpf of PPF exposure, no significant changes were found in AP activity whereas, a biphasic response was observed in the LDH activity. There was no genotoxic effect in embryos exposed to PPF at 0.16 and 0.33 μg/mL, while significant (P < 0.05) DNA damage and apoptosis were found in 1.66 μg/mL treated group. Histopathological analysis revealed that exposure to PPF at 1.66 μg/mL resulted in thinning of heart muscles, pericardial edema and hyperemia while there was no obvious changes were observed in other treatment groups. Hence, the results of the present study demonstrate that PPF could cause adverse effect on early developmental stages of zebrafish at higher concentration.

Identification of a sugar gustatory receptor and its effect on fecundity of the brown planthopper Nilaparvata lugens.

In insects, the gustatory system plays a crucial role in multiple physiological behaviors, including feeding, toxin avoidance, courtship, mating and oviposition. Gustatory stimuli from the environment are recognized by gustatory receptors. To date, little is known about the function of gustatory receptors in agricultural pest insects. In this study, we cloned a sugar gustatory receptor gene, NlGr11, from the brown planthopper (BPH), Nilaparvata lugens (Stål), a serious pest of rice in Asia; we then identified its ligands, namely, fructose, galactose and arabinose, by calcium imaging assay. After injection of NlGr11 double-stranded RNA, we found that the number of eggs laid by BPH decreased. Moreover, we found that NlGr11 inhibited the phosphorylation of adenosine monophosphate-activated protein kinase (AMPK) and promoted the phosphorylation of protein kinase B (AKT). These findings demonstrated that NlGr11 could accelerate the fecundity of BPH through AMPK- and AKT-mediated signaling pathways. This is the first report to indicate that a gustatory receptor modulates the fecundity of insects and that the receptor could be a potential target for pest control.

Predicting Heliothis (Helicoverpa armigera) pest population dynamics with an age-structured insect population model driven by satellite data

The cotton bollworm (Helicoverpa armigera) is among the most damaging agricultural insect pests in the world. The life cycle of H. armigera is temperature dependent and as such modeling its population dynamics for integrated pest management (IPM) purposes requires accurate temperature information throughout the area of interest, which is not always available. We present, for the first time, a continuous age-structured insect population model driven by satellite-derived land surface temperature (LST) to derive population dynamics of H. armigera. We use LST data from the Moderate resolution imaging spectroradiometer (MODIS) conducting model simulations and validating the model with H. armigera larvae counts from in-field scout reports in nine sweet corn (Zea mays convar) and four tomato (Solanum lycopersicum) crop fields in Northern Israel. We compared our results with a similar model that uses air temperature derived from the nearest weather station as an input. To accurately predict population dynamics, we used different model initiation scenarios considering pesticide application and migration patterns between neighboring corn and tomato fields, which were identified as sink and source of the adult population. Results show that our LST-driven model outperformed the model driven by ambient air temperature. Model simulations generally followed the larval population development observed in the field when the model was initiated the day before the first larvae were detected, providing realistic population dynamics. Simulations with different adult population migration rates showed the importance of including between-field migration in the LST-driven model. In conclusion, this study provides a basis for future development of real-time IPM support systems, particularly when combining a temperature-driven age-structured insect population model with real-time satellite-derived information.

Android-based Agricultural Insect Trap Monitoring System Using Solar Panel and Arduino Technology

The project was conducted to monitor the voltage level of the battery and weight of the insect trapped through Desktop Application and Android- based monitoring system. The study used Voltage Sensor and load cell in monitoring the voltage of the battery placed beside the prototype as-well-as the volume of trapped insect. The NRF24L01 was used in sending data and receiving from the voltage sensors to the projects’ server in order to save it to the database. Real-time data gathering of voltage using nRF24l01 has been conducted. The data stored in the server was then used for Graphical Representation using the Android phone for ease of understanding. Wi-Fi was used in order to connect the server and the android phone. Random selections of respondents have been conducted. Twenty (20) respondents having ten (10) representatives from Information Technology Students, five (5) representatives of farmer experts, and (5) five randomly selected representatives from Faculty and Staff of SPAMAST-Digos Campus as a respondent. Overall result of the ratings of evaluation on android-based agricultural insect trap monitoring system using solar panel and Arduino technology was conducted in a farm at Purok 6, Matti, Digos City, owned by Mr. Dominador Gomez Jr., with an area 0.25 hectare. On favourability of the project as it performed well and was proven good has a combined mean of 4.3. This means that majority of the evaluator agreed on the functionality, and reliability of the project. Thus, its usability and the user satisfaction are greatly acknowledged.